Ph.D. Theses Abstracts
Thesis No.: 1 A Computerized Pulmonary Diagnosis System
Yasemin Palandüz Kahya Year: 1987
Advisors: Assoc. Prof. Yusuf Tan, Assoc. Prof. Ömer Cerid
Abstract: The lung, the ventilatory apparatus, has the task of producing an alternating mass flow of gas between the external atmosphere and the lung alveoli, during which it functions both as a mechanical pump and as a gas exchanger. Spirometry is a method which aids in the diagnosis of the condition of the lung as a mechanical pump through pulmonary function tests. In this work, a microprocessor-based system has been developed to improve on the accuracy of the measurement of the pulmonary function tests and at the same time to reduce the time required for analysis of the respiratory data. However, as such an approach by itself does not evaluate the gas exchanging function of the lung, in addition to spirometry, the system designed to incorporate monitoring the partial pressure of inspired and expired oxygen via two additional parameters, defined in this work, to give the user an insight into the condition of the lung as a gas exchanger. These parameters are calculated from measured quantities and are compared with values calculated from a lung model. The simultaneous measurement of the flow data and oxygen partial pressure offers the physician a more complete perception of the state of the lung, through more accurate evaluation of various respiratory parameters. The design replaces in many aspects more costly and multi-instrument systems with one system which is easily operated and requires minimum user intervention. The system calibrates itself before each test and offers the user the option of selecting among three tests. The system, furthermore, is interactive via a visual display, and a hard copy of the results and graphs can be obtained upon user command from the printer. The system is especially useful in mass screening where optimization of time and costs is required. Finally, both the hardware and software are flexibly designed to permit future expansion.
Thesis No.: 2 pH Dependence of Histamine Modulation on NMDA Response in Hippocampal Slices
HaleSaybaşılı Year: 1995
Advisors: Assoc. Prof. Yusuf Tan, Prof. Helmut L. Haas
Abstract: The histaminergic system in the brain emanates from the tuberomammilary nucleus of the posterior hypothalamus and projects to the whole central nervous system. In this research, the effect of histamine was investigated in the CA1 region of the hippocampus of rats in vitro. The enhancement of activity mediated by classical histamine receptors has been confirmed and a new independent action of histamine on N-Methyl D-Aspartatic acid (NMDA) receptors has been described in, 1. hippocampal slices as an epileptiform field activity in magnesium free medium, representing NMDA receptor mediated extracellular activity ,2. thin hippocampal slices with patch-clamp technique as an effect on the NMDA components of excitatory postsynaptic currents. The extracellular activity evoked by the stimulation of Schaffer collateral-commissural pathway was recorded from CA1 stratum pyramidale and stratum radiatum The NMDA components of excitatory currents evoked by glutamate in the CA1 region of rat hippocampal slices and their modification by histamine were investigated by using the patch-clamp tight seal whole cell recording technique. In this study it has been found that histamine has no influence on non-NMDA current but effects the NMDA current in a pH dependent way. Histamine potentiates the NMDA current at pH 7.2 while it depresses the current at pH 7.6. The NMDA current modification by histamine was not mediated by the activation of known histamine receptors of H1, H2 or H3 type. The effect resembles the known interaction of polyamines with the NMDA receptor-ionophore complex. This work is consistent with the concentration clamp experiments in isolated hippocampal pyramidal cells and emphasizes the physiological and pathophysiological implications: Slight shifts in pH as shown here to profoundly influence the histamine action occur locally during intense nervous activity, tetanic stimulation and globally during anoxia. The modulating action of the histaminergic system in the brain will be specifically targeted towards plasticity under these conditions.
Thesis No.: 3 Analysis of Averaged and Single Evoked Potentials Using Damped Sinusoids and Wavelet Basis Functions
Ahmet Ademoğlu Year: 1995
Advisors: Prof. Yorgo İstefanopulos, Assoc. Prof. H. Özcan Gülçür
Abstract: Two new modeling techniques, based on the damped sinusoids and the wavelet basis functions, are proposed for the analysis and investigation of Evoked Potentials (EP). The damped sinusoid modeling is applied to the averaged and the single trial EPs and the relation between the spontaneous brain electroencephalogram (EEG) and EP is observed as a phase reordering and amplitude enhancement of certain damped oscillations. The method which estimates the single trial EP in EEG, allows for tracing the single trial variabilities of the EPs during a recording session. The wavelet transform is applied to the averaged and single trial EPs for the time-frequency analysis of the oscillations occurring in different frequency bands of spontaneous EEG. The relation between EEG and EP activity is observed as an amplitude enhancement and a phase alignment of otherwise randomly phased oscillations in the spontaneous EEG. A selective averaging method is proposed based on these findings. The wavelet transform is applied to the averaged pattern reversal visual EPs collected from normal and Alzheimer's diseased subjects. A consistent differentiation of phase behavior in slow oscillations in the delta-theta band (0-7 Hz) is observed between the normal and pathological waveforms.
Thesis No.: 4 Cardiopal: Passive Acoustic Localization and Mapping Using 2-D Recordings of Heart Sounds
Yıldırım Bahadırlar Year: 1997
Advisor: Assoc. Prof. H. Özcan Gülçür
Abstract: A non-invasive method is proposed for acoustical detection of coronary artery disease in a normal hospital environment. The diastolic heart sounds recorded via a high sensitive phonocardiography system are utilized to differentiate the coronary artery victims. A frequency- domain adaptive filter is used to effectively eliminate the background noise from these weak signals and to promote Autoregressive (AR) parameters having distinctive features between normal and diseased subjects. For the noise cancellation process an auxiliary sound channel is also included in the recording system. Clinically valuable correct classification rates are reached by using the AR parameters as feature vector for two objective classifiers, namely a two-layer perceptron and the K- means classifier. The second heart sounds are decomposed into damping sinusoids by using forward prediction, and a correlation between the systolic blood pressure in the aortic root and parameters of the damping sinusoids is investigated. The damping parameter with its intrinsic immunity reveals the highest and statistically significant correlation with the systolic pressure. This new approach is proposed for continuous pressure measurement, but it needs extensive clinical investigations. A microphone array system and an array signal processing method is developed to localize hypothetical sound sources in the heart of the adult and the fetus. This approach is totally original in the field of digital phonocardiography. 2-D and 3-D images of the sound sources are estimated by means of a signal propagation model and a subspace-based array processing algorithm (MUSIC).
Thesis No.: 5 Classification, Visualization and Transient Analysis of Respiratory Sound Patterns
Emin Çağatay Güler Year: 1998
Advisors: Assoc. Prof. Yasemin P. Kahya, Prof. Bülent Sankur
Abstract: Among the methods for the diagnosis of respiratory disorders auscultation is still the most rewarding method since it is simple, patient-friendly and non-invasive. Recent advancements in measurement and signal processing techniques have opened the path for intelligent stethoscopes. By an intelligent stethoscope, one intends a computerized auscultation device which can register and process the sound signals, display them with sophisticated visualization techniques and can provide to the physician diagnostic aids. This research is a case in point that it advances and investigates various signal processing and classification techniques for an intelligent stethoscope. Firstly, for diagnostic purposes, a multi-stage signal classification and decision fusion scheme has been developed. This scheme significantly improved the classification performance by having on one hand two-tiered decision mechanism rather than a single stage classification and on the other hand by combating the non-stationarity of respiratory sounds due to their cyclic behavior. Secondly, a nonlinear mapping method for the interactive analyses of sound patterns has been developed. Experiments in visual assessment of respiratory sound patterns using were promising from the medical diagnostic point of view both due to its flexibility and the fact that it outperformed competitor mapping techniques in the literature. Thirdly, a transient detection scheme based on the use of time-scale analysis and nonlinear operators has been investigated. The method was found to be superior to existing algorithms in both detection performance and fidelity of extracted waveforms. In conclusion, these three advances in respiratory sound analysis and classification contributed to the development of an auscultation based diagnostic device implementable on any signal processing board on PC.
Thesis No.: 6 The Mechanical and Biological Performance of the Alternating Sliding Knots with Different Patterns in Abdominal Wound Closure.
Zeina Babetty Year: 1998
Advisor: Prof. Sabri Altıntaş
Abstract: New knot configurations, consisting of alternating strands with different patterns, have been studied from mechanical and biological perspectives in order to determine whether they would be suitable for abdominal surgery, as compared with conventional sliding knots. Mechanical properties of these new knots were compared with those of the classical sliding knots and single threads for silk and nylon sutures under dry conditions. From the mechanical perspective, the new knots showed better knot holding capacity and efficiency. In the in vivo implantation tests performed on the rat abdominal wall, the alternating sliding knots with different patterns were found to be more efficient and secure than the classical sliding knots. The knot configuration, postoperative period, suture material and size were important factors in determining the knot holding capacity. From the biological perspective, these new knots provoked tissue reaction similar to the classical sliding knots. Because nylon is less pliable than silk, its use resulted in higher effective knot volumes, causing more pronounced tissue reaction. To test the bacterial adherence to the knots, in vitro and in vivo tests were performed in rats. The degree of the elicited infection correlated well with the capability of bacteria to bind to the suture. It was observed that the knot configurations and the suture sizes did not have much effect on bacterial adherence. Due to the presence of interstices between throws, the knots had greater capacity to retain bacteria than the single threads for both silk and nylon, thus promoting infection. The elasticity and stress-relaxation properties of these knots were compared to those of single threads of silk and nylon. The elasticity of the knots, in general, was higher than that of the threads for both materials. The silk showed decreased elasticity at high extension levels, while nylon showed increased elasticity. In stress relaxation tests, the residual load fraction of the knots was found to be higher than that of the threads at all extension levels. A model was created to study the effect of several factors on the suture pullout force in the abdominal wall. Incisional direction, knot configuration, strain rate and tissue healing strength were important factors in determining the suture pullout force. In conclusion, we do recommend the use of the alternating sliding knots with different patterns in abdominal surgery instead of the currently used sliding knots.
Thesis No.: 7 Characterization of Processed Tooth Hydroxyapatite and Bioglass for Potential Applications in Dentistry
Faik Nüzhet Oktar Year: 1999
Advisor: Prof. Sabri Altıntaş
Abstract: In this study possible applications of bioceramics like hydroxyapatite (HA) and bioglass in dentistry have been studied. HA was derived from freshly extracted human teeth in laboratory conditions as plasma coating and grafting material and basic techniques for material characterization were performed. The HA produced by this method is simple and economical when compared with conventional methods which are tedious and time consuming. Bioglass compositions used in this study, were produced from reagent grade fine chemicals and some porous structures were prepared. Implant prototypes prepared from titanium rods, were coated with HA powder using a plasma coating unit. The HA produced by this method has been demonstrated to have the potential to become a superior graft material in veterinary orthopedics. Plasma spraying studies agreed with the results in the literature. Pathological results of the animal studies have been affirmative. For animals nuclear bone scintigraphy studies were performed to follow the sseointegration process in HA/ bioglass grafting cases. It was observed that bone scintigraphy was a valuable method to follow the metabolic activity of bone cells when compared with planar X-ray films. Graft studies were also performed using plaster of Paris which is another bioceramic. An active drug delivery system was evaluated based on its rapid solubility characteristics. Pathological results and high performance liquid chromatography results indicated that this material has potential as a drug delivery system.
Thesis No.: 8 Evaluation of Altitude Decompression Procedures and Development of New Decompression Strategies.
S. Murat Egi Year: 1999
Advisor: Prof. Yusuf P. Tan
Abstract: Diving at altitude requires different tables than at sea level due to the reduction in surface level ambient pressure. In this work, the rationale for the algorithms extrapolating the sea level diving data are reviewed. When applied to different sets of maximum permissible tissue tensions (M value), the conservatism of an algorithm becomes a function of bottom time, depth and altitude. Aviation altitude exposure decompression sickness (DCS) data is also addressed. Animal experiments performed within the scope of this thesis proved that precordial bubbles can form during the ascent from sea level to 2000-m. supporting a far lower threshold for altitude DCS then the model outputs. Following three pioneering altitude diving expeditions to 2200, 3412 and 3980-m, a set of no- decompression stop (no-d) limits for 3500 m was calculated using linear extrapolation of US Navy M values decreased by 4 feet of sea water. This is a new method of altitude adaptation (NLHE, Nonlinear Hypobaric Extrapolation). These limits were tested at 3412-m. by 10 man/dive per profile without any case of DCS. 212 dives were achieved with a total bottom time of 4110 min. The mean DCS risk estimated according to precordial bubble scores (Spencer's Scale) ranges from 0.3% to 2.8% per profile. The last part of the thesis is devoted to the computation of decompression tables for 3500-m altitudes. This work suggests the use of a continuous variable for the compartment time constants, allowing the simulation of infinite number of compartments and reducing the discrepancy between different algorithms to a single M value expression.
Thesis No.: 9 Contribution of Superficial Layer Neurons to Presaccadic Bursts in the Superior Colliculus: A Whole-Cell Patch-Clamp Study in Brain Slices.
Gülden Özen Year: 1999
Advisors: Assoc. Prof. Yusuf Tan, Prof. George J. Augustine
Abstract: Brief electrical stimulation of the superficial layer of the superior colliculus in the tree shrew (Tupaia glass) evokes prolonged bursts of excitatory postsynaptic currents (EPSCs) in premotor cells of the subjacent intermediate layer. The large amplitude and long duration of these EPSC bursts suggest that intracollicular circuitry may contribute to the generation of the bursts of action potentials that premotor cells use to command saccades. In this study, we use whole-cell patch-clamp methods to examine the contribution of one component of this circuitry, the superficial layer, to the generation of EPSC bursts. Applying single, brief stimuli to the superficial layer of rat collicular slices evoked prolonged EPSC bursts that were similar to those previously described in the tree shrew. These EPSCs were sufficient to elicit bursts of action potentials that lasted as 300 milliseconds. To examine the contribution of neurons within the superficial layer to production of the EPSC bursts, we determined how these neurons responded to the same stimuli that evoked the bursts. Recordings from 61 superficial layer cells revealed 19 neurons that produced multiple action potentials following stimulation. Nine of these 19 neurons were types that project to the intermediate layer and, thus, could contribute to producing the EPSC bursts. The remaining cells did not generate trains of action potentials. Our results indicate that most superficial cells do not directly contribute to production of the EPSC bursts, but that a small number does have the properties necessary to provide this prolonged excitatory drive to the premotor neurons.
Thesis No.: 10 Novel Methods to Improve Acquisition of Transient Evoked Otoacoustic Emissions for Hearing Screening.
Reis Burak Arslan Year: 2000
Advisor: Prof. Yekta Ülgen
Abstract: In this study, new signal processing methods are developed to solve some of the common problems in transient evoked otoacoustic emission (TEOAE) acquisition. The aim is to facilitate the universal auditory screening of newborns using TEOAEs. For this purpose, averaged and single sweep raw data were recorded using two different instrumentations. Various techniques used in digital signal processing of data have been applied for the first time, to the acquired TEOAE signal, and they are shown to yield satisfactory results in dealing with recording problems such as stimulus artifact, test duration, and noise reduction. In the first phase of the study, data are collected from normal hearing subjects, from different age groups, using the conventional data acquisition system in the clinic of the Marmara University Audiology department. Normal features of the TEOAE signal among age groups are statistically analyzed, then compared with time varying spectra obtained from parametric analysis. The following studies used the single sweep data collected in the Neurosensory laboratory of Biomedical Engineering Department at the University of Miami, from normal hearing young subjects. Initially, signal and noise characteristics under different recording conditions are determined and two Signal-to-Noise Ratio (SNR) based averaging methods are proposed accordingly. The first algorithm rejects the single sweeps whose power exceed a predetermined level, and yields better SNR at continuous noise. The second method is a selective averaging algorithm that sorts the single sweeps according to their noise powers and averages only the optimum number of sweeps. It is shown to be effective in reducing the total test time. In the next stage, two adaptive methods are implemented to enhance the signal to noise ratio of the response. Adaptive noise cancellation works for noisy environments while the adaptive signal enhancement improves the SNR of the emission at low stimulus levels. Otoacoustic emissions are known to be suppressed by noise masking. A novel approach, based on ipsilateral suppression of the emission, is shown to be successful in reducing the stimulus artifact. The benefits of simultaneously using the auditory brainstem response (ABR) and TEOAE testing in studying the suppression and reducing test time are also shown. All these methods, besides being effective in resolving the screening problems, also provided tools for the assessment of hearing status and investigation of the mechanics of the auditory organ.
Thesis No.: 11 Comparative Analyses of Artificial Kidney Membranes and Influences of in Vivo Utilization on Their Properties and Performances in Terms of the
Buruk Armağan Konduk Year: 2002
Advisor: Prof. Hikmet Üçışık
Quality of the Materials and Hemodialysis Treatment
Abstract: The objective of this study was to identify factors affecting adequacy of haemodialysis and relations between them using Taguchi Method (fractional factorial experiments) throughout minimum of tests. Dialysis age, dialyzer membrane material, haematocrit, interdialytic weight difference, dialysate, pump speed, heparin type, and socio-economical status were applied as parameters for Taguchi Method in order to drive out not only their individual effectiveness on the therapy but also interactions among them. Adequacy of a hemodialysis treatment was decided according to Kt/V using Daugirdas-2 formula. Delivery of Kt/V of 1.2 was accepted as target value. Performing Analysis of Variance (ANOVA), dialyzer, haematocrit, pump speed and socio-economical status were found to have direct influence on the treatment quality, while dialyzer-interdialytic weight difference, dialyzer- haematocrit, dialyzer-pump speed, dialyzer-socio-economical status relations were detected as effective.
Thesis No.: 12 A Model of Active and Attentive Vision
Çağatay Soyer Year: 2002
Advisors: Assoc. Prof. H. Işıl Bozma, Prof. Yorgo İstefanopulos
Abstract: Biological vision systems explore their environment by allocating their resources to interesting parts of a scene, using both physical and mental attention mechanisms. The result of this active and attentive vision behavior is a sequence of images obtained from different spatial locations at different times. However, temporal processes and integration mechanisms in the brain enable us to interpret this information and perceive a stable image of the environment. While models of such attention and perception mechanisms are invaluable to understand human vision, they are also increasingly used and improved by robotics and artificial intelligence researchers to achieve human- like performance. In a similar attempt, we propose a new and complete model of active vision behavior, based on confirmed biological evidence where available. The model consists of an attention system, temporal image sequence processing algorithms and an integrative visual memory. All components of the model are implemented on our mobile robot APES. Gaze control, sequence based scene recognition and visual integration tasks are assumed during experiments. Results of gaze control experiments clearly demonstrate a human-like selective attention behavior, which can be fully controlled by a number of parameters. In recognition and integration tasks, simple and complex scenes were successfully modeled and classified. Furthermore, our work on attentional image sequences raised a number of interesting questions, some of which have been answered in this thesis.
Thesis No.: 13 Analysis of Single Trial Evoked Potentials Using Neural Network Structures and Radial Basis Functions
R. Murat Demirer Year: 2002
Advisor: Assoc. Prof. H. Özcan Gülçür
Abstract: The single-trial evoked or event related brain potential (s-EP) estimation remains to be a very difficult problem due to many interfering noise sources and artifacts with spatio-temporally overlapping response components and due to the nonstationarity nature of these signals. In this thesis work a new class of neural network model and associated learning algorithm has been developed for s- EP estimation. The model is called M-NARMAX and uses a mixture of such techniques as radial basis functions (RBF), nonlinear auto regressive moving average modeling (NARMAX), neural networks, automatic order determination and maximum likelihood adaptive neural systems (MLANS). The use of radial basis functions and nonlinear auto-regressive moving average methods in the background make this estimation process very effective. The success of the model has been demonstrated in experimental studies with both synthetic and real data. The s-EP estimation technique developed has also been used in topographic dipole source localization. In order to reduce the dimensionality of the problem, a spatio-temporal transformation has been used, treating the human head as a spherical structure. Preliminary studies have shown that the accuracy of dipole localization is around 20-30 mm, throughout the latency period from 20 to 90 ms. The multi-channel M-NARMAX model considerably improves the quality of the estimates of single trial evoked potentials and makes them more functional and utilizable for both clinical practice and for research work. It also appears to resolve some of the previously unseen aspects of event-related signals. By combining the insights gained through detailed examinations of s-EPs using the techniques discussed here, with the available neurophysiological, neurometabolic, and neuroanatomical information a better understanding of mass neural processes of human cognition may be reached. This will allow more detailed study of changes in cognitive dynamics in brain-damaged persons, especially those with Alzheimer's or Parkinson's diseases.
Thesis No.: 14 Modeling and Analysis of the Interaction Between Renal Sympathetic Nerve Activity, Arterial Pressure and Sodium Excretion
Fatih Karaaslan Year: 2004
Advisor: Assoc. Prof. Yağmur Denizhan
Abstract: High basal renal sympathetic nerve activity (rsna) is known to contribute to the pathogenesis of hypertension, congestive heart failure, nephrotic syndrome and hepatic cirrhosis. Because of this clinical importance of rsna a mathematical model has been developed, which allows the long-term analysis of the effect of rsna on arterial pressure and sodium excretion. Previous long- term cardiovascular models in the literature do not explicitly include most of the effects of rsna on kidney functions. Some of them take only the effect of the rsna on renal vascular resistance into account. In this dissertation, a long-term cardiovascular system model is presented that integrates the previous models developed by Guyton, Uttamsingh and Coleman. Additionally it introduces mechanisms of direct rsna effects on tubular sodium reabsorption and renin secretion in accordance with experimental data from literature. The resulting mathematical model constitutes the first long- term model of the cardiovascular system accounting for the effects of the rsna on kidney functions in such detail. Simulations of test situations have revealed that the closed loop behavior of the model sufficiently resembles clinical and experimental results available in the literature, in terms of basic cardiovascular and renal dynamics. The model not only provides an understanding of renal sympathetic nerve activity-increase-related mechanisms which give rise to an increase in mean arterial pressure in case of hypertension and to an increase in the total sodium amount in cases of congestive heart failure, nephrotic syndrome and in cirrhosis. It also accounts for mechanisms, which, due to the impairment of renal sympathetic nerve activity inhibition under sodium loading, rise the mean arterial pressure in salt-sensitive hypertension and the total sodium amount in congestive heart failure, nephrotic syndrome and cirrhosis.
Thesis No.: 15 Modeling of Physiological Properties of Stored Human Blood by Complex Impedance Measurements
Mana Sezdi Year: 2005
Advisor: Prof. Yekta Ülgen
Abstract: In this study, the relationship between physiological properties of human blood, namely Na+, K+, Cl- concentrations, pH, 2,3-DPG and ATP, and its electrical parameters, the Cole-Cole parameters- the resistance of the extracellular fluid (Re), the resistance of the red cell interior fluid (Ri), phase angle, characteristic frequency (Fc) and the capacitance of the cell membranes (Cm)- is investigated. Measurements are performed on 51 erythrocyte suspension (ES) samples, subject to42 days of storage at 4oC, on day 0, 10, 21, 35 and 42. On whole blood (WB) samples (31 samples) under 21 days of storage, same measurements are done on day 0, 10 and 21.Electrical measurements are performed in the frequency range from 100 kHz to 1 MHz at room temperature. Multifrequency complex impedance data are fitted to Cole-Cole diagrams using Least Mean Square algorithm to give Cole-Cole parameters for the equivalent electrical circuit model of blood samples. Variance analysis (ANOVA test) is used to evaluate differences in blood properties relative to storage time. The relationship between the physiological and the electrical parameters of blood is investigated by regression analysis using SPSS. A multiple regression model is developed for ES and WB separately, where the physiological parameters are expressed in terms of the electrical parameters. In a case study, the models are tested for 20 donors, and it is seen that the model for WB is appropriate for predicting Na+, K+, Cl-, pH and ATP at all time, for ES the model is only appropriate for the first 35 storage days. The models cannot estimate 2,3-DPG at all, at any time. This study clearly showed that complex impedance measurement technique can be a valuable tool in predicting the viability of stored blood.
Thesis No.: 16 3-D Gamma Knife Dose Distribution by Normoxic Gel Dosimetry Near Tissue Inhomogeneities
Fatih İşbakan Year: 2005
Advisor: Prof. Yekta Ülgen
Abstract: The primary goal in this study was to investigate the three dimensional dose distributions, near the areas of tissue inhomogeneities, in Gamma Knife Radiosurgery with the normoxic gel dosimetry. Following irradiation, when scanned in MR and post processing the MR images, dose imparted to any particular point in the gel phantom can be calculated via the true T2 relaxation time at that point. In the neighborhood of air-tissue inhomogeneity in the head, electronic disequilibrium can lead to errors in dose calculated with the treatment planning algorithms that presume the head as a homogeneous media. Two experiments were designed to investigate the inhomogeneity effects in the Gamma Knife radiosurgery: one experiment simulating the volume near the auditory canal cavity and, the other simulating the volume near the paranosal sinuses cavity. In the auditory canal cavity experiment, an identical balloon of a diameter of 16 cm with two corks placed on each side to represent the air cavities constitutes the inhomogeneous phantom. In the paranosal sinuses cavity experiment, a cylindrical cork is placed to represent the maximal sinuses. In both experiments, the homo geneous phantom is a spherical glass balloon filled with normoxic polymer gel. For dose calibrations, 100 ml vials filled with the same gel are irradiated at predefined doses, and the R2-dose calibration curve is extracted. Dose distributions are the results of a single shot, by using all 201 Cobalt sources, delivered to a known point in the phantoms. In the aspect of dosimetrical quality control, the Gamma Knife planning system predicted dose distribution is compared with the experimental results. In the homogeneous phantoms, the gel dosimetry calculated dose distribution is in good agreement with the Gamma Plan predicted dose distribution. However, in the case of inhomogeneous phantoms, the dose distribution is spatially different and significant differences in dose levels are observed. The dose decrease near the air-tissue interface causes the overshooting of the dose by the Gamma Plan. This underdosing effect can be essential for the lesions near tissue inhomogeneities. In the auditory canal cavity experiment, the diameter of the 50% isodose curves differ by 35% in the X axis and 1% in the Y axis for Z=105 mm axial plane; and by 39% in the X axis and 5% in the Z axis for Y=105 mm coronal plane in the inhomogeneous phantom as compared to the homogeneous phantom. In the paranosal sinuses cavity experiment, the diameter of the 50% isodose curves differ by 42% in the X axis and 47 %in the Y axis for Z=71mm axial plane; 42% in the X axis and 60%in the Y axis for Z=75 mm axial plane; 52% in the X axis and 70% in the Y axis for Z=79 mm axial plane respectively in the inhomogeneous phantom when compared to the homogeneous phantom. The dose decrease near the air tissue interface causes the Gamma Plan’s predicted dosage to be higher than that actually delivered. The resulting underdosing effect can be critical for the control of the lesions near tissue inhomogeneities.
Thesis No.: 17 Biological Effects of Electromagnetic Fields at Mobile Telecommunication Frequencies
Ali İhsan Yürekli Year: 2006
Advisor: Prof. Mehmed Özkan
Abstract: The increasing use of cellular phones and increasing number of base stations are becoming widespread source of non-ionizing electromagnetic radiation. The immediate biological effect of electromagnetic (EM) radiation is the generation of heat in the body and it is generally evident under high levels of electromagnetic energy. However, some biological effects are likely to occur even at low-level EM fields. In this study, a Gigahertz Transverse Electromagnetic (GTEM) test chamber was used as an exposure environment for plane wave conditions of far-field free space EM field propagation at the GSM Base Transceiver Station (BTS) frequency of 945 MHz and effects on oxidative stress in rats were investigated. Groups of young adult male Wistar albino rats were kept inside the test chamber for 7 hours/day for a period of 8 days. When EM fields producing Specific Absorption Rate of 11.3 mW/kg(power density 3.67 Watt/square-meter), which is well below current exposure limits, were applied, MDA (malondialdehyde) level was found to increase and reduced glutathione (GSH)concentration was found to decrease significantly (p<0.0001). Additionally, there was a less significant (p=0.0190) increase in SOD (superoxide dismutase) activity under EM exposure, when compared to the sham exposed group. Leukocyte counts before and after the experiment and vanil mandelic acid (VMA) levels during the experiment were also assessed. We conclude that free radical mechanisms may have a probable role on the adverse effects of EM fields at mobile telecommunication frequencies.
Thesis No.: 18 Three Dimensional Modeling of Knee Joint: Prediction of Ligament Related Gait Abnormalities
N. Ekin Akalan Year: 2007
Advisor: Prof. Mehmed Özkan
Abstract: The purpose of this study is to investigate the affect of anterior bundle of ACL (aACL), anterior portion of posterior cruciate ligament PCL (aPCL), anterior and deep portions of MCL (aMCL, dMCL) and the tibiofemoral articular contacts on to passive knee motion. A well accepted reference model for a normal tibio-femoral joint was reconstructed from the literature in which attachments of the bundles of the ligaments and the articular surfaces in medial and the lateral components were carefully defined. Another three dimensional dynamic tibiofemoral model which includes the isometric fascicles, aACL, aPCL, aMCL, dMCL, and the medial-lateral articular surfaces were represented as the constraints to predict the trajectory of the tibia on the femur during flexion. The tibiofemoral model was also integrated in to the dynamic patella-tibio-femoral model. The behavior of the knee model was also tested by simulating dynamic and static clinical tests such as knee extension exercise and drawing test. The patello- tibio-femoral model was integrated into full-body model to simulate people walk with normal and ACL deficient patterns. The predictions were closely agreed with the literatures and correspond well to measurements of the model which represents natural patello-tibio-femoral joint. The aACL, aPCL, aMCL, dMCL bundles and the medial-lateral articular surfaces might play a primary role to give the nature of distal femoral sphere like shape. The clinical significance of the work is that anything which changes the lengths and locations of the related ligaments may demolish natural constraints and force the articular structures in to unnatural shape which may make the knee to change contact behavior on the articular surface and may cause pain. The surgical treatments must be accurate enough to provide both ligament bundle geometries and articular geometry to achieve a problem free knee kinematics after the surgery.
Thesis No.: 19 Lesion Detection in MR Mammography: NMITR Maps, Dynamic and Morphological Descriptors
Gökhan Ertaş Year: 2007
Advisor: Assoc. Prof. H. Özcan Gülçür
Abstract: In this thesis, algorithms, methods and techniques for dynamic contrast-enhanced magnetic resonance mammography (DCE-MRM) have been investigated to maximize sensitivity, specificity and reproducibility of breast cancer diagnoses. A novel lesion localization method that uses cellular neural networks (CNNs) was developed. The breast region was segmented from pre-contrast images using four specifically designed CNNs. A 3D normalized maximum intensity-time ratio (nMITR) map of the segmented breast was generated using a moving mask of 3×3 voxels on the dynamic images. This map was converted into a binary form and processed with a fuzzy CNN consisting of three layers of 11×11 cells to segment out lesions from the surrounding tissues and to filter-out deceptive enhancements. A set of decision rules based on volume and 3D eccentricity of the suspicious regions were applied to minimize false-positive detections. The system was tested on a dataset consisting of 7020 MR mammograms in 1170 slices from 39 patients with 37 malignant and 39 benign mass lesions and was found to perform well with false positive detections of 0.34/lesion, 0.10/slice and 0.67/case at a maximum detection sensitivity of 99%. Enhancement and morphological descriptors of breast lesions derived from 3D nMITR maps were also studied for malignancy detection. The mean, the maximum value, the standard deviation and the entropy were the enhancement features found to have high significance (P< 0.001) and diagnostic accuracy (0.86-0.97). nMITR-entropy had the best performance. Among the morphological descriptors studied, 3D convexity, complexity and extent were found to have higher diagnostic accuracies (ranging between 0.70-0.81) and better performance than their 2D versions. Contact surface area ratio was found to be the most significant and accurate descriptor (75% sensitivity, 88% specificity, 89% PPV and 74% NPV). The results demonstrate that nMITR maps inherently suppress enhancements due to normal parenchyma and blood vessels that surround lesions and have natural tolerance to small field homogeneities and thus are very effective for lesion localization and malignancy detection
Thesis No.: 20 Multimodal Investigation of fMRI and fNIRS Derived Breath Hold BOLD Signals with an Expanded Balloon Model
Uzay Emrah Emir Year: 2008
Advisors: Assoc. Prof. Ata Akın, Assoc. Prof. Cengizhan Öztürk
Abstract: Multimodal investigation of blood oxygenation level-dependent (BOLD) signal, using both functional near infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI), may give further insight to the underlying physiological principles and the detailed transient dynamics of the vascular response. Utilizing a breath hold task (BHT), we measured deoxy-hemoglobin (HbR) and oxy-hemoglobin (HbO) changes via fNIRS and blood oxygen level dependent (BOLD) changes by fMRI. Measurements were taken in four volunteers asynchronously and carefully aligned for comparative analysis. In order to describe the main stimulus in BHT, partial pressure of carbon dioxide (PaCO2) parameter was integrated into the balloon model as the driving function of cerebral blood flow (CBF) which led to the development of an expanded balloon model (EBM). During BHT, the increase in HbR was observed later than the BOLD peak and coincided temporally with its post stimulus undershoot. Further investigation of these transients with PaCO2 integrated balloon model suggests that post stimulus undershoot measured by fMRI is dominated by slow return of cerebral blood volume (CBV). This was confirmed by fNIRS measurements. In addition, BOLD signal decreased with the increase of the initial level of PaCO2 derived from EBM, indicating an effect of basal CBF level on the BOLD signal. In conclusion, a multimodal approach with an appropriate biophysical model gave a comprehensive description of the hemodynamic response during BHT.
Thesis No.: 21 Development Of New Orthosis (Neuro-orthosis) for the Control of Wrist Movements in Patients With Carpal Tunnel Syndrome
Ümit Uğurlu Year: 2008
Advisor: Prof. Mehmed Özkan
Abstract: Static wrist orthoses (SWOs) are used in carpal tunnel syndrome (CTS) with some drawbacks. As an alternate approach, an active closed-loop wrist control strategy was proposed to limit wrist movements. It was based on the electrical stimulation of antagonistic muscle(s) to prevent motion beyond preset limits. The purposes of the study were to determine whether the proposed “neuro-orthosis” (NeO) system resulted in less restriction in the function and strength of the hand compared to custom-made SWOs and its ability to limit the wrist movements. A case-control study was designed. 31 right-handed volunteers participated in the study. 12 of them were patients with CTS, and the others were healthy subjects. Function, dexterity, and strengths were measured under three different testing conditions: without orthosis, with a SWO, and with the NeO system. Standardized test instruments and test procedures were used for all measurements. Maximum angles at each direction were recorded while the NeO system was on and off. At the end of the SWO and the NeO test conditions the level of discomfort were questioned by means of 10 cm visual analog scale. SWOs caused significant decrements in most of the tests with respect to the noorthosis test condition. The NeO system also led to some limitations in the test scores. However it was found to be less constraining with respect to a SWO. Although the NeO was not able to strictly limit the movements into preset limit, the resulting movement range was still in the safe area. The NeO system resulted in more discomfort in general.
Thesis No.: 22 The Nanostructural Role of Water in Lamellar Bone and Its Implications on Osteonal Bone Mechanics: A Micrographic and Opromechanical Study
Feride Şermin Bilgen Year: 2008
Advisor: Prof. Hale Saybaşılı
Abstract: The microstructural organization of water in bone was investigated using the environmental scanning electron microscope to analyze the dimensional changes that occur during dehydration of equine osteonal bone. In longitudinal sections, 1.2% contraction perpendicular to the lamellae, 0% parallel to the lamellae; in transverse sections,1.4% contraction both parallel and perpendicular to the lamellae were observed. Scanning electron microscopy back scattered electron images showed that about half of an individual lamella is less mineralized, thus more hydrated, indicating that contractions perpendicular to lamellae are due to the presence of more water-filled rather than mineral-filled channels within the mineralized collagen fibril arrays. As these channels are also aligned with the crystal planes, the crystal arrays facilitate or hinder contraction in different directions. The mineralized collagen fibril arrays, laid down in the form of primary circumferential lamellar bone are replaced with secondary osteonal lamellar bone. The mechanical properties of these two types of lamellar bone are studied to understand how bone functions under load during the remodeling process. Twenty minipig cortical bone samples were tested using an optomechanical testing system. Deformation of tissue after each 2-micrometer compression increment was detected orthogonally in-plane (x,y) and out-of-plane (z). Linear regression of stress and strain of partially remodeled bones gave an E1and ν12 of 7.9 ± 2.1 GPa and 0.3. The circumferential lamellar bone had an average E1 of 9.4 ± 2.0 GPa compared to the average E1 of 6.8 ± 0.8 GPa for the osteonal bone.
Thesis No.: 23 Statistical Analysis of Cognitive Signals Measured by fNIRS
Rıfat Koray Çiftçi Year: 2008
Advisor: Assoc. Prof. Yasemin P. Kahya
Abstract: Further standardization in signal processing tools is needed in the area of functional near infrared spectroscopy (fNIRS) before it is recognized as a reliable neuroimaging modality. This thesis study attempts to present a comprehensive analysis of the feasibility of applying statistical inference methods to fNIRS signals. Using hierarchical linear models, both classical and Bayesian techniques are pursued and performances of different methods are presented on a comparative basis. The results obtained from a set of cognitive signals show that fNIRS can identify cognitive activity both at the subject and group levels. The analysis suggests that mixed or Bayesian hierarchical models are especially convenient for fNIRS signals. A related problem that is discussed in this thesis study is to relate the outcome of the statistical analysis with the underlying physiology. This problem is studied by putting constraints over the parameters to be estimated. Carrying the problem to a Bayesian framework, the constraints were turned into prior distributions and Gibbs sampling was used to infer from the posterior distributions. The results exhibit that in addition to preventing unlikely results to appear at the end of the analysis, using parameter constraints is also more efficient in revealing activations which are obscured by heavy noise. The last part of this thesis study departs from hypothesis-based statistical inference techniques and introduces the use of information-theoretic measures for fNIRS by particularly concentrating on neural complexity and functional clustering. It is demonstrated that this type of measures may capture organizational aspects of the brain which are hard to reveal with classical statistical inference techniques.
Thesis No.: 24 Modeling and Clustering Analysis of Pulmonary Crackles
Mete Yeğiner Year: 2008
Advisor: Assoc. Prof. Yasemin P. Kahya
Abstract: The objective of this study is to perform two complementary analyses of pulmonary crackles, i.e. modeling and clustering, in order to interpret crackles in time frequency domain and also determine the optimal number of crackle types and their characteristics using the modeling parameters. Since the crackles are superimposed on background vesicular sounds, a preprocessing method for the elimination of vesicular sounds from crackle waveform is also proposed for achieving accurate parameterization. The proposed modeling method, i.e. the wavelet network modeling, interprets the transient structure of crackles in the time-frequency space with a small number of components using the time-localization property of wavelets. In modeling analysis, complex Morlet wavelets are selected as transfer functions in the hidden nodes due to both their similarity with the crackle waveforms and their exibility in the modeling process. Clustering analysis of crackles probe the discrepancies found among the studies related with the crackle types and their corresponding characteristics. Since, in these studies, crackles are classified according to the auditory perception of the observers, there are inconsistencies found in the labeling of the same crackle. To overcome the inherent subjectivity, the crackles are classified in an unsupervised method using the EM clustering analysis. In this method, it is assumed that the crackle data can be interpreted with the multivariate Gaussian mixture model and, therefore, crackle clusters distribute normally in the feature spaces. The results strongly suggest the existence of a third crackle type, medium, in addition to the commonly used two types, i.e. ne and coarse. Moreover, the extracted characteristics of crackle types offer additional features for the computerized crackle-based analysis of pulmonary disorders.
Thesis No.: 25 The Effect of Dialysis Environment and the Clinical State of Patients with Chronic Kidney Failure on the High Flux Dialyzers
Mehmet Emin Aksoy Year: 2008
Advisor: Prof. Hikmet Üçışık
Abstract: In order to optimize the renal replacement therapies many researches have been going on for many years. The tendency for dialysis therapy is towards high flux hemodialysis in the last few years. For understanding the behavior of newly designed hollow fibers under high flux dialysis condition, new experiments should be designed. Experiments are designed to study the stability of the two different membranes, polysulfone and polyamide, from high flux dialyzers. Hemodialysis sessions were performed on a group of patients with dialysis ages less than two years and without any other accompanying disease. Microscopical studies performed on virgin and used dialysis membranes showed morphological changes during dialysis session. Mechanical tests revealed the differences in the mechanical properties of virgin and used membranes. The change in the degree of crystallinity of the polysulfone and polyamide membranes during dialysis was observed under X-Ray Diffraction (XRD). It was found that dialysis increases the crystallinity. This issue is very important for dialysis centers performing reuse procedures for dialysis centers, because any damage to dialysis membranes would cause very serious clinical complications. Differential scanning calorimetry (DSC) studies showed structural changes resulted by dialysis. Unlike the other analytical techniques used, the capacity of FTIR did not give enough information. The data obtained in the course of this study showed that high flux dialysis sessions cause irreversible structural changes, which may result in clinical complications during reuse of dialyzers
Thesis No.: 26 Accuracy Improvements of NIRS and Investigation of Muscle Oxidative Metabolism
Ömer Şayli Year: 2009
Advisor: Assoc. Prof. Ata Akın
Abstract: In the first part of the thesis, the effect of fat layer on continuous wave near infrared spectroscopy (cw-NIRS) measurements were investigated in detail, both in terms of underestimation error (caused by homogeneous medium assumption) and crosstalk between chromospheres because of homogeneous medium assumption and wavelength dependence of mean partial path length in the muscle layer. These errors have been investigated by Monte Carlo simulations with a skin-fat-muscle layered tissue model for a two wavelength system. The errors have been found to be higher for thicker fat thicknesses. A correction algorithm was proposed with the use of wavelength dependent partial path length in the muscle layer derived with Monte-Carlo simulations. Two detector cw-NIRS system was also analyzed and compared with 1-detector cw- NIRS system. The performance was promising but true assumption of initial optical coefficients of the layers poses a challenge for the performance. Muscle metabolism, fatigue and endurance was examined with usage of three simultaneous measurement modalities: cw-NIRS, SEMG and force-time for isometric hand grip exercise. The study revealed some physiological processes related to fatigue. A highly valued and statistically significant correlations were found between sEMG and cw-NIRS derived parameters especially at 50% maximal voluntary contraction along with biometrics for endurance prediction. These information could be important in sports applications, ergonomics, physical medicine and rehabilitation to monitor the recovery with objective parameters.
Thesis No.: 27 Advanced Computational Tools for Real-Time MR Imaging
Haris Saybaşılı Year: 2009
Advisors: Assoc. Prof. Cengizhan Öztürk, Prof.Dr.Ahmet Ademoğlu
Abstract: Real-time Magnetic Resonance Imaging (MRI) has the potential of successfully guiding interventional applications. Overall, the requirements of real-time MRI can be categorized as: (i) fast data acquisition, (ii) fast image reconstruction, and (iii) good image quality. Fast data acquisition is provided by optimized real-time sequences, by parallel MRI (pMRI) techniques, or by non-Cartesian acquisition schemes (e.g. spiral and radial trajectories). However, fast image reconstruction is non- trivial, especially when computations demanding pMRI methods or non-Cartesian trajectories are involved. Even though signal-to-noise ratio (SNR) can be relatively high during real-time imaging, spatial resolution is limited. Thus, improved visual feedback during real-time MRI guided interventions is a must. This thesis defined three specific aims to improve real-time imaging: (i) real- time image reconstruction for pMRI, (ii) real-time image reconstruction for non-Cartesian trajectories, and (iii) fast MRI post-processing for improved visual feedback during interventions. Thesis contributions include: (i) real-time hybrid domain TGRAPPA based pMRI reconstruction algorithm (currently the fastest TGRAPPA based algorithm), (ii) first real-time implementation of GRAPPA Operator Gridding algorithm for radial acquisitions, (iii) multi-phase 3D angiography roadmaps for MRI guided interventions, (iv) improved active device visualization during real-time MRI guided interventions, (v) integration of a real-time active device localizer algorithm.
Thesis No.: 28 Investigation of the Alterations in Motor Units in Neurologic Disorders by Scanning Electromyography
İmran Göker Year: 2009
Advisor: Prof. Yekta Ülgen
Abstract: In this study, the alterations in the length of cross-sections of MU and the changes in maximum amplitude of MUAPs in each MU in patients with JME were investigated. An experimental setup of scanning EMG was built and 3-D cross sectional maps of the MUs were plotted in order to measure the length of cross-sections and to find the maximum amplitude of each MU. Three subject groups comprising nine patients with juvenile myoclonic epilepsy as JME group, ten healthy volunteers as normal control (NC) group and three patients with spinal muscular atrophy as SMA group were included. The age of the subjects ranged between 22 and 46. Five to eight measurements were performed from the biceps brachialis muscles of each subject. Data including 113 measurements in total acquired from with these measurements were stored in a computer and then were used to construct 3-D maps of MU territories. All three groups were compared in pairs by using 113 measurements with Student’s t-test. JME groups were found similar to SMA group in terms of both parameters. The difference between JME and NC groups was found as extremely significant. Since the increase in both parameters due to the enervation occurs in SMA group, significant difference is expected between SMA and NC group. These results were confirmed with Turkey's HSD test by comparing three groups simultaneously. Three groups were also compared using the individual means of parameters with a non-parametric test such as Mann-Whitney test. A significant difference which is also confirmed again with Turkey's HSD test was found between the JME and NC groups. In conclusion, since no neurogenic evidence was found in JME patients in conventional EMG previously higher length of cross-sections can be considered as structural.
Thesis No.: 29 Clinical Grade Active Guidewire and Catheter for Interventional Cardiovascular MRI
Özgür Kocatürk Year: 2009
Advisor: Assoc. Prof. Cengizhan Öztürk
Abstract: The success and safety of interventional magnetic resonance imaging (MRI) procedures requires conspicuous intravascular instruments that can be distinguished from surrounding tissues. In this dissertation work, an "active" (receiver-coil) clinical grade vascular guidewire and guiding catheter were developed with enhanced visibility and favorable mechanical characteristics for MRI guided cardiovascular interventions. Both 0.035-inch guidewire and 7 Fr guiding catheter were designed combining two different antenna designs on independent channels. The devices incorporate a loop antenna to visualize the tip and determine orientation, and a dipole antenna to visualize the whole guidewire shaft. The MRI visibility performance and RF safety tests were performed at 1.5T in vitro and in vivo in swine. The two channel active guidewire design provided accurate tip position information with 0.97 0.42 mm and novel active shaft visibility technique was introduced to polymer based guiding catheter successfully without sacrificing device size or handling. Mechanical testing comparison with several commercially-available guidewires demonstrated that the new guidewire design provides the desired stiffer distal tip, moderate torquability, and pushability suitable for vascular applications. The RF power threshold and limitations were determined to provide reasonable amount of heating during MRI examination. This may enable a range of interventional procedures using real-time MRI.
Thesis No.: 30 A Neurovascular Coupling Model Based on Nitric Oxide and Carbon Dioxide and Its Validation with Two-photon Microscopy Imaging
Ayşe Meryem Yücel Year: 2010
Advisor: Assoc. Prof. Ata Akın
Abstract: Understanding neurovascular coupling is of paramount importance since while a normal coupling is vital for a healthy functioning brain, the impairment in coupling is the underlying factor of many neurodegenerative diseases. With this motivation, we aimed to test the still-debatable hypotheses and important aspects of neurovascular coupling: whether the coupling is controlled metabolically or neurogenically, how the coupling is propagated, what kinetics the cerebral metabolic rate of oxygen (CMRO2) follows during neuronal activity and the transient characteristics of the response during stimulus and after stimulus periods. We have modified recent models of neurovascular coupling adding the effects of both nitric oxide (NO) kinetics, a well-known neurogenic vasodilator, and CO2 kinetics as a metabolic vasodilator to test the neurogenic and metabolic hypotheses. Using 2-photon microscopy imaging, we measured the vessel diameter changes in vivo in somatosensory cortex of Sprague Dawley rats during forepaw stimulation to investigate response transients and to test retrograde dilation hypothesis. Our results show that the dominant factor in the hemodynamic response is NO, however CO2 is important in modulating the shape of the response: causing post-stimulus undershoot due to the washout effect of cerebral blood flow (CBF) resulting in hypocapnia. The statistical analysis of our experimental results and their comparison with the modeling results give more insight into the transient characteristics of the response. Our results support retrograde dilation hypothesis and suggests a CMRO2 onset and return kinetics in seconds rather than in minutes during functional activity.
Thesis No.: 31 Photofrin And Indocyanine Green-Mediated Photodynamic Therapy in Cancer Treatment
Özgüncem Bozkulak Year: 2010
Advisor: Assoc. Prof. Murat Gülsoy
Abstract: Photodynamic therapy (PDT) is a minimally invasive therapeutic approach for clinical treatment of cancer. PDT-mediated oxidative stress leads to cell death and can elicit the expression of genes associated with cell survival, such as AKT/protein kinase B. Phosphorylation and subsequent activation of AKT induces a survival response. For the first time in literature, our results from in vitro and in vivo experiments demonstrated that PDT treatments mediated by excitation of Photofrin with a 630-nm diode laser induced AKT phosphorylation. PDT-mediated AKT pathway activation may stimulate cell survival in remaining tumor tissue leading to tumor reoccurrence, therefore, inhibiting PDT-mediated AKT activation may improve treatment responsiveness. Our findings demonstrated that, minimally toxic AKT inhibitor, PI- 103, e actively inhibited PDT-mediated AKT phosphorylation both in vitro and in vivo. These results have great importance in relevance to development of combinatorial therapies using PDT and PI-103 inhibitor to improve treatment responsiveness. Indocyanine Green (ICG) exhibits maximum absorption at around 800 nm, which is an advantage for its use in treatment of deeper tumors. In this study, an 809 nm diode laser was designed and custom manufactured in our laboratory to investigate the effects of ICG-mediated PDT on human breast cancer cells. This study for the first time reported that ICG-PDT application exhibited strong and stable phototoxic e effects on MDA-MB231 breast cancer cells. Collectively, these novel findings presented in this thesis study contributed largely to the knowledge of PDT in cancer treatment, which is the first reported PDT study in Turkey, and open new research areas for further investigations.
Thesis No.: 32 Skin Tissue Welding with Near Infrared Lasers: Investigation of the Optimal Parameters
Haşim Özgür Tabakoğlu Year: 2010
Advisor: Assoc. Prof. Murat Gülsoy
Abstract: Laser tissue welding/soldering is an alternative to conventional closure techniques in surgery. In the present study, the closure capability and the contribution to recovery period of laser welding techniques were investigated through comparative experiments. Effects of three near infrared (NIR) wavelengths, 809 nm diode laser, 980 nm diode laser and 1070 nm ytterbium ber laser, were compared not only among themselves but also with classical manual suturing for skin closure competency. Lasers with different NIR wavelengths were delivered to skin incisions via optical bers and laser power was adjusted according to predosimetry studies. In dosimetry experiments all the three NIR lasers were tested for their efficacy in welding; besides, 809 nm diode laser was also tested for its efficacy in laser soldering. Effects of 980 nm laser welding at same energy but different irradiation levels were also compared. Throughout this period, healing was inspected at particular days (1, 4, 7, 14, 21) by histological and mechanical methods. Skin samples were stained with Hematoxylin and Eosin (H&E) in order to assess gross pathological changes along epidermis and dermis created either by photothermal laser tissue interactions or suturing and suture material itself. These changes were quantified as closure index (CI), thermally altered area (TAA), granulation area (GA) and epidermal thickness (ET) by using different microscopy techniques such as brightfield, polarized light and phase contrast. The laser welding techniques were found reliable in terms of immediate and mechanically strong closure compared to suturing.
Thesis No: 33 Design and Development Of Thulium Laser System for Medical Applications
Temel Bilici Year: 2012
Advisor: Assoc. Prof. Murat Gülsoy
Abstract: The Thulium (Tm: YAP) laser is suitable for medical applications due to strong absorption in water. In this thesis, a computer controlled Tm: YAP laser system with a power output up to 1 W and emission wavelength of 1980 nm were established. Once the laser system was stabilized, its output power, spot size, and light intensity measurements were performed. The thermal effects of the laser system on brain, liver, heart, and kidney tissues were macroscopically analyzed. The ablation efficiency of the laser system was experimentally tested on ex-vivo brain tissue. The maximum ablation eficiency was obtained at a power level of 200 mW with duration of 10 seconds (69 W/cm2). The fluence effect for skin ablation was analyzed by histology on Wistar rat skin tissues during a 4- day healing period. Temperature measurements by thermal camera and thermocouples were investigated to see the temperature effect of CW and modulated mode of the Tm: YAP laser under skin and on skin surface. The temperature increase was faster and the temperature decrease was found slower in CW mode. The main aim of the study is to explore the welding capabilities of Tm: YAP laser in modulated and CW modes of operation on Wistar rat skin during 21-day healing period. Full- thickness incisions were welded at 100 mW and 5 s (34.6 W/cm2). The results were compared to conventional suture techniques by both histology and tensile strength measurements. After day 4, full closure was obtained for both laser modes, whereas, full closure was not observed till day 4 in suture group. In tensile strength analysis, tensile forces found for both modulated and CW modes of operation were significantly higher than the tensile force values found for conventional suture technique. Tm: YAP laser tissue welding possessed significantly stronger closure than conventional suture technique.
Thesis No: 34 Neuroimaging of Brain Activity using Spatio-temporal Signal Modelling
Adil Deniz Duru Year: 2012
Advisor: Prof. Ahmet Ademoğlu
Abstract: Functional neuroimaging enables us to obtain information about how the brain responds to cognitive and/or emotional tasks. Neuroimaging of brain activity requires spatio-temporal modeling of measured electrical and/or hemodynamic data and integration of the measurements obtained at different spatial and or temporal scales. In this thesis, new techniques are employed for the investigation of spatio-temporal dynamics of different functional data as the EEG-ERP, the invasive/non-noninvasive recordings of epileptic EEG, and simultaneously recorded steady state EEG- fMRI. Spatio-temporal wavelet decompositions using realistic head models are applied in order to produce simple stationary input subtopographies for the source localization. Besides, a spatial decomposition method based on radial basis functions is used. The usage of the subtopographies facilitate the inverse solution and it is shown that even the tempo- rally correlated EEG sources can be localized by this approach. Integration of the data obtained from different spatial scales is an important problem in epileptic EEG. To assess their reliability, the spatial performance of the scalp EEG based inverse solutions are compared with deep or cortical measurements and their simultaneously measured datasets. The multimodal functional information integration is proposed to compare the dynamics
deduced by the simultaneously recorded SSVEP and fMRI. The temporal correlation between the time series of EEG and fMRI is calculated via the GLM. It is observed that the SSVEP source maps are the spatial subsets of the fMRI activity. The study demonstrates the applicability and potential of new spatio-temporal methods in EEG research which can be used to study cognition, attention, memory, and perception. Proposed methods can also be used as tools in more practical areas like brain computer interfacing, neurosurgical planning and neuro-psychological assessment of certain disorders.
Thesis No: 35 Mechanics of Spastic Muscle and Effects of Treatment Techniques: Assessments with Intra-Operative and Animal Experiments
Filiz Ateş Year: 2013
Advisor: Doç. Dr. Can Ali YÜCESOY
Abstract: Present thesis is focused on mechanics of spastic human muscles and the effects of widely used treatment methods in the context of the determinant role of epimuscu- lar myofascial force transmission (EMFT). A novel intra-operative method was devel- oped to measure human Gracilis (GRA) muscle isometric forces with respect to knee angle. In healthy subjects, GRA was shown to have very large operational length range. For spastic cerebral palsy patients on the other hand, GRA muscle did not show “abnormal” mechanical characteristics: (i) Length range was not narrowed and (ii) high flexion forces were not available. Such abnormality occurred if its antago- nist vastus medialis is activated simultaneously. Therefore, EMFT mechanism through inter-antagonistic interaction was suggested to determine human muscle characteristics in spasticity. Effects of treatment methods were investigated in animal experiments: (1) Muscle lengthening surgery was shown to a ect (i) proximal and distal sides differ- entially and (ii) non-operated neighboring muscle as well. (2) Botulinum Toxin Type-A (BTX-A) administration was shown to change the mechanics of not only the injected but also non-injected muscles in conditions close to in vivo. Additional to active force reductions (i) the narrowed length range of force exertion and (ii) pronounced passive force increase contradictory to the aim were shown. EMFT mechanism was concluded to be determinant for the treatment methods as well.
Thesis No: 36 Effects of Mechanical and Temporal Parameters on Tactile Pyschophysical Responses
Mustafa Zahid Yıldız Year: 2013
Advisor: Doç. Dr. Burak GÜÇLÜ
Abstract: Tactile feedback is becoming more important in clinical devices and engineering. Therefore, studies on basic sensory processing in the somatosensory system are essential. In this thesis, the mechanical and temporal parameters affecting the absolute tactile detection threshold of human Pacinian (P) channel were investigated. Temporal summation in P channel was found to be independent of stimulus frequency and the experimental results did not t the classical model of temporal summation. The model needs to be modeled to show the U-shaped Pacinian channel behavior. Additionally, the spatial summation property of the P channel was demonstrated on fingertip at three different contact locations and at three contactor sizes. The effects of skin mechanics on psychophysical thresholds of the P channel were studied by measuring mechanical impedance. A significant correlation was found between the thresholds and the dynamic modulus of the skin. Conventionally, somatosensory evoked potentials (SEPs) are measured on the scalp by applying electrically stimulating the peripheral nerves in the clinical setting. Here, SEPs were represented by different types of wavelet functions, which can be used in data compression. Non invasive recordings of scalp potentials were also investigated by applying strong mechanical stimulation on the fingertip. However, time-frequency analysis did not show much useful information about stimulus properties, which would be useful in understanding basic somatosensory processes. The results of this thesis may
be useful in various fields such as haptics, robotics, prostheses, dermatology, and cosmetics. Specifically, spatial and temporal summation should be incorporated in the high-frequency vibrotactile feedback in prosthetic arms.
ThesisNo:37 ClinicalGradeActiceGuiedewireDesignforCardiovascularInterventiona lMRI
Merdim Sönmez Year: 2013
Advisor: Y. Doç. Dr. Özgür KOCATÜRK
Abstract: In cardiovascular interventions, magnetic resonance imaging (MRI) can be used as an alternative to X-ray fluoroscopy to address problems such as soft tissue contrast and exposed ionized radiation. In recent years, advances in imaging techniques and innovative procedures have increased interest in using MRI guidance for minimally in- vasive procedure. An increasing number of procedures have been carried out on animals and quite a few studies have been conducted on humans. However, to accomplish a complete transition of MRI-guided therapies and treatments from animal experiments to clinic applications, some challenges need to be overcome. Chief among them is the fact that MRI-guided interventional procedures remain limited by a lack of availability of MR-compatible interventional instruments.
In this study, the main goal is to close the gap between investigational studies in animal and clinical applications. First, an MRI-compatible active guidewire for a clinical application was designed and tested. A 0.035′′ (128cm in length) active guidewire for MRI right and left heart catheterization at 1.5 T was manufactured in an ISO class 7 cleanroom. The design involved an internal fiber-optic temperature probe to monitor real-time temperature increases at the hottest spot of the guidewire to ensure patient safety during MRI scan. A solenoid coil at the distal end of the guidewire was also attached to change the current distribution of the guidewire and to create a conspicuous tip signal. Visualization of the exact location of the guidewire tip enhanced the safety and effectiveness of the right and left heart catheterization. And the mechanical requirements of the guidewire for right and left heart catheterization were met by using a taper nitinol wire as a core structure and thermoplastic elastomer material to support the entire structure. Second, the safety and effectiveness of the guidewire were evaluated through bench-top tests. The mechanical characteristics of the guidewire were compared to those of commercial counterparts. The guidewire design was modified until the mechanical requirements were met. The signal-to-noise ratio and imaging artifact were measured to evaluate the visibility of the guidewire. And a comprehensive in vitro heating test was conducted in an acrylic box filled with gel simulating human tissue conductivity. The longitudinal heating profile of the whole guidewire was acquired during these tests. In addition, the electrical safety of the guidewire was addressed by designing a leakage current blocking circuit to limit the leakage current.
The preclinical in vivo studies were designed and conducted in swine animal models to assess the feasibility of the guidewire during right and left heart catheteri- zation. The studies complied with Good Laboratory Practice (GLP) standards. The guidewire was navigated through the vascular structure and chamber of the heart and used to support the diagnostic catheter. Extensive heating tests were performed to evaluate the heating risk of the guidewire. It was determined that guidewire visual- ization and mechanical properties were suffcient to complete all the steps during the procedures.
Finally, a proportional-integral-derivative (PID) controller was implemented to control the scan parameters during the MRI-guided procedure to ensure patient safety. The main aim was to reduce RF induced heating by dynamically adjusting the flip angle based on real- time temperature values coming from the guidewire shaft.
Thesis No: 38 Diffusion Tensor Fiber Tracking with Self-Organizing Feature Maps
Dilek Göksel Duru Year: 2013
Advisor: Prof. Dr. Mehmed ÖZKAN
Abstract: The diffusion tensor imaging (DTI) is unique in its ability to estimate the white matter (WM) fiber tracts in vivo noninvasively. The post-processing of DT images needs proper image analysis and visualization tools. However, accurate WM anatomical maps should be provided to clarify the multiple orientational fiber paths within uncertainty regions. These regions with intersecting trajectories generate a critical tractography issue in DTI literature. WM fiber tractography needs a standard- ization, a generally accepted fiber tract atlas which is the main concern of the various research groups in the field. In this thesis, the special class of artificial neural networks (ANN) namely Kohonen's self organizing feature maps (SOFMs) is proposed for the analysis of DT images. This SOM based tractography approach called SOFMAT (Self- Organizing Feature Mapping Tractography) relies on unsupervised learning method for the mapping of high dimensional data into a 1D, 2D, or higher dimensional data space depending on the topological ordering constraint. The unsupervised approach enables SOFMAT to order the principal diffusivity of the fibers in the DTI into neural pathways. A major advantage of the topological maps produced by SOFMAT is that it retains the underlying structure of the input space, while the dimensionality of the input space is reduced. As a result, an artificial neuronal map is obtained with weights encoding the stationary probability density function of the input pattern vectors. Building fiber tracking maps based on the diffusion tensor information which learn through self or- ganization in a neurobiologically aspect is the aim of the study. SOFMAT has been tested to reveal uncertainties in fiber tracking. A well known artificial dataset called PISTE was used to access the capabilities of SOFMAT. After identifying an affective configuration, SOFMAT was employed for human tractography.
Thesis No: 39 Revealing Gene Interactions Using Bayesian Networks
Şenol İşçi Year: 2013
Advisor: Prof. Dr. Cengizhan ÖZTÜRK
Abstract: High throughput biological data (HTBD) targeting understanding of biochem- ical interactions in the cell can best be analyzed, and explained within the context of networks and pathways. Such data generally represents stochastic nonlinear relations embedded in noise. Bayesian Network (BN) theory provides a framework to analyze the data regarding gene regulation measurements, as this framework naturally handles the aforementioned obstacles.
In this dissertation, we provide a two faceted approach to the applications of BNs to HTBD. In the first facet, a novel method is provided, which models known biological pathways as BNs, and uses given HTBD to find pathways that best explain underlying interactions. During this process, biological pathways are converted to directed acyclic graphs, and a score measuring fitness of the observed HTBD to a given network is calculated. Statistical significance of these scores is assessed by "randomization via bootstrapping", and relevant pathways are identified with a certainty that can be used as a comparative measure. Simulations using synthetic and real data demonstrated robustness of the proposed approach, called Bayesian Pathway Analysis (BPA). BPA provides improvement over existing similar approaches by not considering genes in a pathway simply as a list, but incorporating to its model the topology via which genes in a given pathway interact with each other. Although network learning techniques are very useful to reveal the underlying biological phenomena with the help of HTBD, these techniques do not always perform well. This is due to the problems created by the small number of samples, inconvenient initial choice for the network structures, noise inherent in the data, and the complexity of the networks. To improve their performance, the learning techniques can be supported by prior biological knowledge, which are already verified by experimental assays.
In the second facet explored in this dissertation, we established a global approach to integrate known biological information to Bayesian learning in order to reveal gene interactions. The proposed framework makes use of external biological knowledge to predict if two given genes interact with each other. To this end, prior knowledge about interaction of two genes is utilized by generating a Bayesian Network Prior (BNP) model, using existing external biological knowledge. External knowledge types to be utilized were obtained from interaction databases such as BioGrid and Reactome, and consist of protein-protein, protein-DNA/RNA, and gene interactions. The resulting model is incorporated into greedy search algorithm for learning networks from HTBD, and interacting genes are represented in the form of a network. In this process of net- work generation, the BNP model deducing gene interactions from external knowledge are used to calculate the probability of candidate networks to enhance the structure learning task. Simulations on both synthetic and real data sets showed that the pro- posed framework can successfully enhance identification of the true network, and be used in predicting gene interactions.
Thesis No: 40 Detection And Assesment of Cardiac Patent Foramen Ovale
İsmail Burak Parlak Year: 2013
Advisor: Prof. Dr. Ahmet ADEMOĞLU
Abstract: Arterial microemboli are gas filled structures which are formed in intravascular and extravascular environment. They are characterized in spherical or ellipsoid forms which would cause diseases in a broad range from stroke to migraine. Cardiac Patent Foramen Ovale (CPFO) is considered as a congenital defect through both atria as a permeable shunt with a prevalence frequency of 25-30% in asymptomatic population. Decompression Sickness (DCS) is a fatal disease during hyperbaric and hypobaric ac- tivities due to unestimated effects of microemboli. CPFO aperture combined with DCS is a clinical problem where bubble analysis is managed manually by special and trained cardiologists. Even this problem was considered recently by different groups within sound, image and video forms, an automated tool is considered as a challenge due to algorithmic and mechanical constraints related to noise, monitoring and probe localization. We aimed to develop a spatio-temporal methodology for clinicians which would not carry out long lasting videos where the number and the size of microemboli alter dynamically. In this thesis, developed methods are classified into two groups; qualitative and quantitative assessments. These approaches were tested initially in a simulation environment with artificial microemboli. Furthermore, microemboli and CPFO were monitored in subjects through videos using two modalities: contrast Trans Esophageal Echocardiography and contrast Trans Thoracic Echocardiography. Even our procedures would get accurate findings within videos, it is important to note that low resolution, high speckle noise, shadowing would introduce false alarms. Conse- quently, we conclude that this routine would standardize CPFO analysis and offer better adjustment for bubble detection.
Thesis No: 41 An Fmrı Based Method For Characterizing Superficial Layer Contamination in Fnırs Signals
Sinem Burcu ERDOĞAN Year: 2014
Advisor: Prof. Dr. Ata AKIN, Prof. Dr. Yekta ÜLGEN
Abstract: Functional near infrared spectroscopy (fNIRS) is a method for monitoring cere- bral hemodynamics with a wide range of clinical applications. fNIRS signals are con- taminated with systemic physiological interferences from both the brain and superficial tissues, resulting in a poor estimation of the task related neuronal activation. In this study, we introduce an extended superficial signal regression (ESSR) method for can- celling physiology-based systemic interference in fNIRS
signals. We apply and validate our method on the optically weighted BOLD signals, which are obtained by projecting the fMRI image onto optical measurement space by use of the optical forward problem. The performance of ESSR method in removing physiological artifacts is compared to i) a global signal regression (GSR) method and ii) a superficial signal regression (SSR) method. The retrieved signals from each method are compared with the neural sig- nals that represent the "ground truth" brain activation cleaned from cerebral systemic fluctuations. We report significant improvements in the recovery of task induced neu- ral activation with the ESSR method when compared to the other two methods with higher spatial localization, lower inter-trial variability, and higher contrast-to-noise (CNR) improvement. Our findings suggest that, during a cognitive task i) superficial scalp contribution to fNIRS signals varies significantly among different regions on the forehead and ii) using an average scalp measurement together with a local measure of superficial hemodynamics better accounts for the total systemic interference. We conclude that maximizing the overlap between the optical pathlength of superficial and deeper penetration measurements is of crucial importance for accurate recovery of the evoked hemodynamic response in fNIRS recordings.
Thesis No: 42 Time-Frequency and Time-Scale Analysis of Non-Stationary Biomedical Signals
Görkem SERBES Year: 2014
Advisor: Prof. Dr. Yasemin KAHYA, Prof. Dr. Halil Özcan GÜLÇÜR
Abstract: Fourier transform (FT), which assumes that the analyzed signal is stationary, is not entirely appropriate to analyze biomedical signals since they are in non-stationary nature. To overcome this drawback, FT can be applied over short-windows of time within which the signal can be considered to be stationary. However, this short-time Fourier transform is hampered with a serious time-frequency (TF) trade-off dilemma. Recently, a number of different TF analysis techniques has been developed that provide improved TF resolution. In this dissertation, we consider two strongly non-stationary biomedical signals, lung sound and blood-flow signals, and propose novel and effective systems for the detection of crackles from the former and emboli from the latter. The crackle detection system uses the dual tree complex wavelet transform (DTCWT) for denoising and time-frequency/scale analysis with various windows/wavelets for feature extraction. The emboli detection system processes forward and reverse flow signals using FT, discrete wavelet transform (DWT), and DTCWT. Dimensionality of the extracted coeffcients is reduced using Principal Component Analysis, and the new fea- tures are used for predicting whether a signal is emboli, speckle or artifact. Since the dyadic TF tiling of classical DWT is not appropriate for processing embolic signals, and since the discrete wavelet packet transform (DWPT) can adaptively decompose the TF axis, we also propose a directional complex DWPT for mapping directional information while processing quadrature signals (QSs). This method has significantly less computational complexity than the existing methods. To overcome the poor fre- quency resolution, severe frequency aliasing and lack of shift-invariance drawbacks of the DWT, we also propose a novel directional complex DWT. It consists of filter-banks with rational sampling factors and can be applied directly to QSs.
Thesis No: 43 MRI Assesment of in vivo Epimuscular Myofascial Force Transmission
Alper YAMAN Year: 2014
Advisor: Prof. Dr. Cengizhan ÖZTÜRK, Doç. Dr. Can Ali YÜCESOY
Abstract: Recent developments have been evolving magnetic resonance imaging (MRI) to a combined tool in order to assess human anatomy and physiology in vivo. In the present thesis 3D high resolution anatomic and diffusion weighted imaging capabili- ties of MRI were combined with nonrigid registration technique in order to quantify principal strains and fiber direction strains locally. The presented method was used to assess the effects of epimuscular myofascial force transmission (EMFT) and external mechanical load simulating ischemic compression manual therapy technique in human lower leg in vivo.
In healthy subjects, global length changes of gastrocnemius muscle-tendon com- plex were shown to cause sizable and heterogeneous local principal strains and fiber direction strains within the all muscles of the limb. It was concluded that EMFT has determinant role in human muscles that affects the mechanical characteristics of syn- ergistic and antagonistic muscles as changing heterogeneity of fiber lengths. Thus it was proven that muscles are not isolated functioning units in vivo.
Even all muscles of lower leg were kept isometric, external mechanical load imposed on gastrocnemius muscle caused pronounced and quite heterogeneous principal strains not only within that muscle but also in other muscles of the limb. These findings may lead therapists to relate the mechanical load and the size and penetration of deformations it creates.
Thesis No: 44 Antibacraterial Photodynamic Therapy with Indocyanine Green and Near- Infrared Light
Nermin TOPALOĞLU Year: 2014
Advisor: Prof. Dr. Murat GÜLSOY, Assist. Prof. Şahru YÜKSEL
Abstract: Increase in antibiotic-resistance is a worldwide health problem which may result in septicemia and subsequent death in recent years. Some of these deaths are caused by nosocomial, burn or chronic wound infections. Photodynamic therapy can be an alternative technique in treatment of infections. This research aimed to investigate the bactericidal effect of photodynamic therapy with indocyanine green and near-infrared light in vitro and in vivo.
First, the effect of indocyanine green and 809-nm laser light was examined on wild type and resistant strains of Staphylococcus aureus and Pseudomonas aeruginosa in vitro. Indocyanine green concentration and laser dose were initially optimized for wild type strains. After determining most effective concentrations with specified light dose, they were applied on resistant strains. This method was totally efficient to kill these strains and optimum doses varied with different strains. Later, this method was examined on rat excisional and abrasion wound models. Wounds were infected by resistant strains of S. aureus and P. aeruginosa. Optimum parameters could not be found for excisional wounds because of bleeding, but infected abrasion wounds could be successfully treated. Around 90% reduction in bacterial burden was observed. Applied energy dose did not cause any thermal damage on healthy tissue.
Thesis No: 45 Monitoring Depth of Anesthesia Through Measurement of Phase Coupling Among Spontaneous EEG Rhythms
Seyed Mortaza Mousavı̇ Year: 2015
Advisor: Prof. Dr. Ahmet Ademoğlu, Assoc. Prof. Mahrokh. G. Shayesteh
Abstract: Awareness during general anesthesia for its serious psychological effects on patients and some juristically problems for anesthetists has been an important challenge during past decades. Monitoring depth of anesthesia is a fundamental solution to this problem. Induction of anesthesia alter frequency and mean of amplitudes of the electroencephalo- gram (EEG), and its phase couplings. By increasing the anesthetic drug dose, the mean frequency of the signal decreases and its amplitude increases and theta or delta waves appear. In this study, we analyze EEG changes for phase coupling between delta and alpha sub-bands using a new algorithm for depth of general anesthesia (DOA) mea- surement based on complex wavelet transform in patients anesthetized through total intravenous anesthesia (TIVA) by Propofol. By taking bispectral index (BIS) values as reference we calculate entropy and histogram of modulated signals.Entropies cor- respond to different BIS intervals using Mann-Whitney U test show that they have different continuous distributions.The results demonstrate that there is a phase coupling between 3-4 Hz in delta and 8-9 Hz in alpha sub-bands and these changes are shown better at the channel (T7) of EEG. Moreover, when BIS values increase, the entropy value of modulated signal also increases and vice versa.Measuring phase cou- pling between delta and alpha sub-bands of EEG signals through Morlet continuous complex wavelet transform analysis reveals the depth of anesthesia level.The method can be used to measure depth of general anesthesia to prevent awareness of the patients during anesthesia.
Thesis No: 46 Investigation of Oscillatory Mechanisms and Thalamo-Cortical Circuitry of the Visual System by Simultaneous EEG-fMRI
Ali Bayram Year: 2015
Advisor: Prof. Dr. Ahmet Ademoğlu,
Abstract: Neural oscillation is an indispensable phenomena in the functioning of the cor- tical networks. Evoked neural oscillations triggered by external rhythmic stimulation mimic spontaneous ongoing oscillations, thus could shed light on the intrinsic special- ization and tuning of the cortical networks. In this thesis, flickering light stimulation is used to constitute steady state for a wide range of temporal frequencies (6-46 Hz) during simultaneous electroencephalography (EEG) and blood oxygenation level de- pendent (BOLD) functional magnetic resonance imaging (fMRI) scans of 40 healthy volunteers. Firstly, thalamo-cortical loop of the visual system is the subject of interest. Our findings prove that high correlation between the frequency response characteristics of the lateral geniculate nucleus (LGN) and the primary visual cortex (V1) supports the oscillatory tuning property of the thalamo-cortical interactions. Secondly, contribu- tion of oscillations in the modeling of hemodynamic response is discussed based on the sensitivity of BOLD components (phasic and tonic) to temporal frequency. Our results show that, tonic BOLD component is decreasing more sharply than phasic component with increasing frequencies pointing higher dependency of tonic BOLD response to the stimulation frequency. Finally, EEG informed fMRI analysis is conducted for the sake of testing resonance phenomena. The correlation maps between the BOLD responses and the steady state visually evoked potential (SSVEP) amplitudes show significant correlation for the beta and gamma bands but not for alpha band. This result supports the view that the global amplitude maximum of the SSVEP in the alpha band is due to the synchronization without synaptic activity (BOLD) increase.
Thesis No: 47 An Optoelectronic System for Device Localization in İnterventional MRI
Murat Tümer Year: 2015
Advisor: Prof. Dr. Yekta Ülgen, Prof. Dr. Cengizhan Öztürk
Abstract: In active catheter tracking, a microcoil directly connected to the MRI system and positioned at the distal end of the catheter is employed for localization. The peaks in the frequency spectrum of the acquired MR signal correspond to catheter's physical location. The major problem with active techniques is the RF heating due to long conducting wires. Fully optical systems that replace the conducting wires with inherently RF-safe optical fibers are proposed. In these systems, the SNR suffers from the electro-optical signal conversion distally (and opto-electrical conversion proximally) at this high frequency. Amplifying and frequency down-converting the MR signal at the catheter tip could minimize signal losses. Amplification could be achieved with an LNA placed next to the microcoil. To provide the reference signal to the mixer for frequency down-conversion of the amplified MR signal, an outside generator or on- chip oscillator could be used. Both methods have their disadvantages like increased complexity at the distal end due to additional cable and frequency drift over time due to temperature or bias voltage variations.
In this work, the reference signal for frequency down-conversion is provided from the MRI scanner's own transmitter! It is a very reliable source of signal since no frequency drift for the transmitter is expected over a specific imaging sequence interval. The frequency of the reference signal is defined as an offset with respect to the center frequency of the scanner, making this technique immune to main field drifts. Following down-conversion, the electrical signal is converted into optical signal for MR- safe transmission. This is also critical to protect the circuitry of the distal unit and receiver from currents that would be induced on the outer surface of the cable.
Thesis No: 48:A Hybrid Biological in Silico Neural Network Based Brain-Machine Interface
Mehmet Kocatürk Year: 2015
Advisor: Doç. Dr. Albert Güveniş, Prof. Dr. H.Özcan Gülçür
Brain-machine interfaces (BMIs) aim to improve the lives of individuals with neurological disease or injury, by opening new information transfer channels between brain tissue and prosthetic actuators. In a majority of the BMI work, the data acquiredfrom the motor cortex neurons are decoded into user's intended prosthetic actions by some "optimized" input-output mathematical model. Although this approach is quite sound, the information processing principles used are fundamentally different from those of natural neural circuits. In this thesis, we propose a novel, neurally-inspired design approach; the BMI controller consists of spiking model neurons and receives simulated synaptic inputs from extracellularly recorded neurons. The controller therefore forms a hybrid biological/in silico neural network with the neuronal circuits of the user's brain. In order to fulfill the challenging real-time requirements of the present design approach, we first developed the Bioinspired Model Development Environment (BMDE). The BMDE, implemented on a hard real-time system, significantly facilitates BMI model development processes with powerful online data visualization tools while satisfying the strict timing constraints of the proposed design approach. Using the BMDE, we realized a novel, adaptive BMI controller which consists of in silico striatal medium spiny neurons, each receiving simulated synaptic inputs from extracellularly recorded motor cortex neurons. By implementing a reward-modulated spike timing-dependent plasticity rule and a winner-takes-all mechanism, the BMI controller, based on real-time closed-loop simulations, achieves perfect target reach accuracy for a two target reaching task in one dimensional space. Using this design approach and the BMDE, new generation BMI controllers that better mimic brain circuits can be developed. Moreover, by investigating the interactions between biological and in silico neural networks during neuroprosthetic control tryouts new neuroscienti_c insights concerning motor control and learning can be obtained.
Thesis No: 49:Linear State and Parameter Estimation of the Hemodynamic Model Using fMRI Bold Signal
Serdar Aslan Year: 2015
Advisor: Prof. Dr. Ahmet Ademoğlu, Prof. Dr. Ata Akın
The joint estimation of the parameters and the states of the hemodynamic model from the blood oxygen level dependent (BOLD) signal is a challenging problem. In the functional magnetic resonance imaging (fMRI) literature, quite interestingly, many proposed algorithms work only as a filtering method. In the fMRI state estimation literature, extended Kalman filter (EKF) is asserted to be not robust and worse than standard particle filters (PF). We compared EKF with PF and observed that the contrary is true. We also implemented particle filter that approximates the proposal function by the extended Kalman filter. We compared Gaussian type approximated estimation techniques like extended Kalman filter (EKF), unscented Kalman filter (UKF), cubature Kalman filter (CKF) as well as stochastic inference techniques like standard particle filters (PF) and auxiliary particle filter (APF). Filtering makes the estimation of the hidden states and the parameters less reliable compared with the algorithms that use smoothing. We improved the EKF performance by adding smoother. The joint state and parameter estimation is improved substantially by performing the iterative EKS (IEKS) algorithm. We compared IEKS performance with the square-root cubature Kalman smoother (SCKS) algorithm. We show that its accuracy for the state and the parameter estimation is better and much faster than iterative SCKS. SCKS was found to be a better estimator than the dynamic expectation maximization (DEM), EKF, local linearization _lter (LLF) and PF methods. We show in this thesis that IEKS is a better estimator than iterative SCKS under different process and measurement noise conditions.
Thesis No: 50:Tensor Analysis of Neuroimaging Data
Esin Karahan Şenvardar Year: 2015
Advisor: Prof. Dr. Ahmet Ademoğlu,
Acquisition of large amounts of data in neuroimaging research requires development of new methods that can disentangle the underlying information and reveal the features related to cognitive processes. This thesis attempts to propose new methods that favor the multimodality and multidimensionality of the brain data. The main difficulty for the fusion of imaging modalities is the discrepancies in their spatial and temporal resolutions as well as the different physiological processes they reflect. This problem is addressed by decomposing the EEG and fMRI data cast as tensors on both common and discriminant subspaces and computing the common spatial profile from the data on the cortical surface. The Granger causality analysis of brain connectivity is reformulated on tensor space enabling incorporation of tools developed in that area of research. The first approach on this analysis facilitated tensor methods for sparse representation of the connectivity patterns whereas the second method resolved them as atomic structures. General theory and computationally efficient algorithms are presented. The techniques are illustrated on the simultaneous EEG/fMRI recordings for the fusion model and on the fast fMRI data for the connectivity analysis. The proposed approaches may have a wide application area ranging from the early diagnosis of neurological diseases to the brain-computer interface studies.
Thesis No: 51: Assesment of Effects of Botulinum Toxin on Muscle Mechanics
Ahu Nur Türkoğlu Year: 2016
Advisor: Prof. Dr. Can Ali Yücesoy
Effects of widely used Botulinum toxin (BTX) treatment on muscular mechanics are highly important, but their mechanism and time course are not well understood. Present thesis is focused on mechanical mechanism of BTX treatment using finite element method and animal experiments. In an isolated muscle model partial paralyzation is shown to cause (i) the sarcomeres to attain higher lengths throughout the entire muscle (e.g., at short muscle length, the inactivated fascicles of middle half paralyzed muscle and the same parts within BTX-free muscle shortened by 29-27% and 32-29%, respectively), (ii) enhanced potential of active force production of the non-paralyzed muscle parts (up to 14.5% for BTX cases), and (iii) decreased muscle length range of force exertion. It is shown that intramuscular myofascial force transmission is central to these effects. Additionally, experimental results showed diminished epimuscular MFT and intramuscular collagen increase. Due to information on the loss of interactions between muscles and increased ECM stiffness due to increased collagen, temporal changes within the muscle during treatment is examined. Modeling of time course of the BTX treatment showed that sarcomeres attain even higher lengths with increased ECM sti_ness and is reversed at longer muscle lengths. Consequently, force production capacity of activated sarcomeres gets further enhanced in the long-term and a narrower length range of force exertion (20.3%, 27.1% and 3.4%, acute, long-term and post BTX treatment, respectively) is a consistent finding. If such stiffness increase were shown to remain post-treatment, enhanced capacity would become permanent for the entire muscle. It is concluded that mechanical effects and morphological changes shown can affect muscular mechanics adversely if not managed accordingly.
Thesis No: 52: Design of a Collimator for Breast-Specific Gamma Imaging and Assessment of Nec Rate for a Pet Scanner Using Monte Carlo Simulations and Response Surface Methodology
Didar Talat Year: 2016
Advisor: Doç. Dr. Albert Güveniş
This thesis is composed of two studies that demonstrate the implementation of Monte Carlo (MC) simulations and response surface methodology (RSM) to specific problems in planar and tomographic nuclear medicine imaging. In the first study, the collimator of a planar small field-of-view continuous crystal breast specific gamma camera is optimized by maximizing the lesion contrast-to-noise ratio (CNR) with respect to hole diameter, septal thickness and hole length. This study demonstrated that the pairwise interaction effects of the collimator parameters play a key role in determining the set of optimal parameter. As a result of optimization, a considerable improvement of up to 73% in CNR with respect to the reference collimators is achieved. Moreover, the critical region for detectability shifted towards the direction of smaller lesion diameter and lower tumor-to-background ratio. Another conclusion of the study is that the optimizer adapts itself to the spatial resolution/sensitivity trade-off as the lesion depth changes. Based on these findings, we conclude that the advantages obtained with this approach may lead to an advancement in collimator design. Whereas, the second study is involved with the positron emission tomography (PET) camera performance based on the noise-equivalent-count rate (NECR). In this part, the effect of lower energy threshold (LET) and coincidence time window (CTW) on NECR is investigated over a range of activities. Our findings showed that both LET and CTW showed signi_cant linear and quadratic effects. Moreover, the evidence of presence of interaction among parameters makes this approach superior in comparison to conventional one-variable-at-a-time assessment techniques. Through an in-depth viii literature review, the proposed approach is also shown to be useful for a range of cameras for both human and animal use, as well as organ-specific and time-of-flightPET scanners.
Thesis No: 53: SOD1 A4V Mutation Increases Nav1.3 Channel Excitability on Xenopus Laevis Oocyte
Elif Kubat Öktem
Advisor: Prof.Dr. Yekta Ülgen
Amyotrophic lateral sclerosis (ALS) is a lethal, paralytic disease caused by degeneration of motor neurons in the spinal cord, brain stem and motor cortex. Mutations in the gene encoding copper/zinc superoxide dismutase (SOD1) are present in 20 % of familial ALS and 2 % of all ALS cases. The most common SOD1 gene mutation in North America is a missense mutation substituting valine for alanine (A4V). In this study, sodium channel currents in oocytes expressing either wild type or mutant (A4V) SOD1 protein were analyzed. In this study elicited on Xenopus Laevis oocyte, it is demonstrated that the A4V mutation confers a propensity to hyperexcitability on a voltage dependent sodium channel (Nav) mediated by heightened total Na+ conductance and a hyperpolarizing shift in the voltage dependence of Nav 1.3 activation. To estimate the impact of these channel effects on excitability in an intact neuron, these changes were simulated in the program NEURON; this shows that the changes induced by mutant SOD1 increase the spontaneous firing frequency of the simulated neuron. These findings are consistent with the view that excessive excitability of neurons is one component in the pathogenesis of this disease.
Thesis No: 54: Artificial Tactile Sensation by Microstimulation of the Hindpaw Representation in the Primary Somatosensory Cortex of Behaving Rats
Advisor: Doç. Dr. Burak Güçlü
In this thesis, rats were trained to detect the presence or absence of bursts of mechanical sinusoidal vibrations (duration: 0.5 s, zero-to-peak amplitude: 200 µm, frequency: 40 Hz) delivered to the volar surface of their hindpaws in a novel vibrotactile operant chamber. In psychophysical experiments, psychometric curves were obtained for three frequencies (40 Hz, 60 Hz and 80 Hz). Then, the rats were implanted with microelectrodes in the hindpaw representation of the primary somatosensory cortex and trained to detect trains of biphasic charge-balanced current pulses (pulse width: 600 µs, current intensity: 20-200 µA)(ICMS). They further tested in psychophysical experiments and psychometric curves were obtained for ICMS detection as in vibrotactile experiments. The psychometric data collected from vibrotactile and ICMS experiments were fitted with surface functions using the stimulus intensity and frequency. Psychometric correspondence functions (PCFs) were constructed based on the psychometric functions of five rats. The PCFs were used to estimate current intensities for a given tactile stimulus intensity and frequency. The PCFs were validated in an additional experiment at five frequencies (40 Hz, 50 Hz, 60 Hz, 70 Hz and 80 Hz). In this experiment, the rats performing vibrotactile detection task were presented with unrewarded trials containing either a vibrotactile or an ICMS stimulus. The vibrotactile and ICMS intensities were matched based on PCFs. Kolmogorov-Smirnov statistic showed that the vibrotactile and ICMS stimuli produced similar psychometric curves in validation experiments (all p values >0.05 for 5 frequencies and 5 rats). Therefore, the PCF based method seems to be feasible for modulating the current intensities and frequency of
ICMS in a somatosensory neuroprosthetic application.
Thesis No: 55: Design and Application of Compartmentalized Platforms for Neurobiological Research
Aysel Çetinkaya Fışgın
Advisor: Prof.Dr. Cengizhan Öztürk
Conventional culture systems remain inadequate for comprehensive understanding of injury and regeneration in peripheral neurons that extend axons over long distances and through varying extracellular microenvironments. Therefore, a highly tailorable in vitro system, that allows studying in different in vitro models that mimics axonal injury, regeneration and nerve transplants is required. This dissertation presents the development and application of novel compartmentalized in vitro cell culture platforms, where cell bodies are cultured on one side and axons are allowed to grow to the other side through microchannels that connect the two fluidically isolated compartments. First, regenerative effects of members of the glial cell-line derived nerve growth factor (GDNF) family of ligands (GFLs) were investigated in a microfluidic physical injury model and GDNF was most potent in promoting axon outgrowth after axotomy. Next, the first high throughput compartmentalized microfluidic platform (HTCMP) is developed, which is an innovative model for in vitro assays in drug screening, where distal axonal degeneration can be modeled by manipulating compartments independently. By means of HTCMP, Flucinolone Acetonide (FA) is identified as a neuroprotective compound in vitro and validated in vivo that it demonstrates axonal protection from PIPN as well as relieving neuropathic pain. Finally, compartmentalized microfluidic platforms that mimics the isolated in vivo environment, are used in an in vitro model of stem cell replacement therapy for nerve injuries, and it is demonstrated that that the axons of mESC (mouse embryonic stem cell) derived motor neurons are myelinated by mESC derived oligodendrocytes.
Thesis No: 56: Detailed Analysis of Voxel Based Morphometry
Özlem Özmen Okur
Advisor: Prof. Dr. Cengizhan Öztürk
Voxel Based Morphometry, VBM, is one of the most widely used brain morphometry
methods which aims to reveal the structural differences between the brain MR images of different populations. It is a whole brain and fully automatic approach in which all the images are registered onto a common template and then segmented into grey matter, white matter and cerebrospinal fluid. After an optional modulation step (regaining the original volume which is shrinked or enlarged during the registration), smoothing takes place in order to make the data more normally distributed and to diminish the inexact nature of the nonlinear registration. Finally, voxel-wise statistical
operations are performed between the groups of the images. As revealed in several studies, changes in these steps and changes in their parameters might influence the resulting statistics. Although some short guidelines exist for conducting the processing stages, this thesis tries to explain each main step and gathers the discussions in the literature to make the VBM users aware of some pitfalls and limitations of VBM; and also gives brief descriptions about the other brain morphometry methods to give a view for where VBM stands at. In this thesis, the effect of modulation and masking strategy at the statistical stage were studied and concluded that not using the modulation and using average-based masking for the statistical part increased the detection power of VBM. Additionally, within the scope of this thesis, three clinical applications of VBM are performed and presented: Comparisons of the brain images of mathematicians, SSPE patients, and solvent abusers vs healthy controls.
Thesis No: 57: Laser Biostimulation and Monitorization of Wound Healing by Means of Bioimpedance Measurements
Advisor: Prof. Dr.Yekta Ülgen, Prof.Dr. Murat Gülsoy
Wound healing is critically important for the quality of life. Substantial number of patients suffering from non-healing chronic wounds and having serious difficulties in their daily life are reported in wound healing studies. However the exact mechanism of healing is not fully understood yet. Scientists have been investigating modalities for stimulating the wound healing process. Laser photobiomodulation has become widespread supporting the idea of therapeutic effects of laser irradiation in biological tissues recently. Conventional methods for following the healing generally lack of objectiveness and repeatability. Thus, a new non-invasive, repeatable and cost effective method was needed. The aim of this study was to investigate the laser photobiomodulation on wound healing and monitor the healing process in-vivo by means of multi-frequency electrical bioimpedance measurements. Photobiomodulated in-vitro cell proliferation examinations were followed by in-vivo experiments on cutaneous skin wounds. Changes in the electrical properties of the wounds were examined with multi-frequency electrical impedance measurements on predetermined days of healing. Morphological, histological and mechanical examinations were used to find out the relationship between electrical properties of tissues and cellular events occurring during the healing process. Our findings showed the biostimulating effects of laser irradiation both in-vitro and in-vivo. The electrical impedance measurement results supported the idea of laser biostimulation on healing of cutaneous skin wounds. It is also shown that electrical bioimpedance measurements may be considered as a supporting non-invasive method for monitoring the healing process of skin wounds.
Thesis No: 58: Laser Braın Surgery Wıth Near Infrared Lasers: Investıgatıon Of The Optımal Parameters By Real-Tıme Temperature Monıtorıng
Burcu Tunç Çamlıbel
Advisor: Prof. Dr.Murat Gülsoy
The thermal damage of the surrounding tissue can be an unwanted result of continuous-wave laser irradiation. In order to propose an effective way alternative to conventional surgical techniques, photothermal damage must be taken under control by a detailed dose study. Real-time temperature monitoring can be also an effective way to get rid of these side effects. The aim of this study was to overcome the side effects of photothermal interactions with a better establishment of experiments for investigating the photothermal effects of lasers and to specify optimal laser parameters in order to propose lasers in clinical use. In the present study, ablation/vaporization capability of three different infrared lasers operating at 980-nm, 1070-nm and 1940-nm were investigated through comparative experiments. All studies were performed ex vivo followed by in vivo with real-time temperature monitoring and male Wistar rats were used as an animal model. Animals were sacrificed immediately after the stereotaxic surgery for histological examinations. Sections were stained with Cresyl Fast Violet in order to measure the thermally altered areas. The relation between laser parameters, temperature changes and ablation efficiency were determined. The correlations between rate of temperature change and ablation efficiency were calculated. In conclusion, this comparative study showed that the change in temperature in the tissue during laser irradiation, even though the laser source is different in terms of wavelength, can be a good indicator for the characteristics of lesion created by the laser.
Thesis No: 59: The Effect of Photobiomodulation on Human Osteoblast and Osteogenic Differentiation of Adipose-Derived Stem Cells
Gamze Bölükbaşı Ateş
Advisor: Prof. Dr.Murat Gülsoy
The present in vitro comparative study evaluated parameters of osteogenesis under the influence of photobiomodulation (PBM). PBM uses light in the visible and near infrared spectrum to induce a non-thermal process and to activate endogenous chromophores, which may result in therapeutic outcomes. Although the cellular and molecular mechanisms involved in the PBM are still unclear, studies suggest that reactive oxygen species (ROS) produced in response to PBM, can induce activation of many biological pathways. Adipose-derived stem cells are promising for use in regenerative medicine and promoting their osteogenic differentiation would be used in improving bone tissue healing and regeneration. The effects of PBM at two different wavelengths with three different energy densities on human osteoblasts and osteogenic differentiation of adipose-derived stem cells were investigated in this present study. Another purpose of the study was to associate the possible biostimulative effect of light with photosensitizers (PSs), which are light activated molecules that cause ROS generation. The cells were incubated with Indocyanine Green (ICG) and Methylene Blue (MB) prior to laser irradiation. Assays measuring the cell viability, cell proliferation, alkaline phosphatase activity (ALP), mineralization, ROS generation and osteoblast specific gene expressions were performed. The results of the present study showed that combined light and PS treatment does not result in a synergistic enhancement of PBM on cell viability and proliferation, but detailed analysis revealed that mineralization and ALP activity were altered following only light or photosensitizer mediated light applications. Whether biostimulative or inhibitory effect occurs after PBM and PS-combined PBM depends upon light dose and wavelength. The potential applications of PBM may be numerous but adequate and reliable evidence is necessary to recommend PBM for clinical use.
Thesis No: 60: Improvement of ASL Based MR Angiography for Novel Applications
Advisor: Prof. Dr.Cengizhan Öztürk
In this study, a custom four dimensional arterial spin labeling angiography (4D ASL) sequence and a proof-of-concept software tool to integrate 4D ASL data to routine scanning were implemented. One of the aims of this study was to test whether the combined use of 4D ASL and contrast-enhanced MR angiography (4D CE-MRA) can work as a prospective alternative to digital subtraction angiography (DSA) for the delineation of the AVM nidus in stereotactic radiosurgery (SRS) planning. Our results indicate that high reproducibility and agreement with experts are achievable without using DSA. The combined use of high temporal resolution 4D ASL and high spatial resolution and vessel-to-background contrast 4D CE-MRA provided sufficient spatiotemporal angiographic information for the delineation of AVM niduses. Another application of 4D ASL is the testing of arterial input models which are used for blood fow quantification in ASL perfusion studies. The accuracy of quantified parameters (blood flow, arterial transit times etc.) is significantly effected by the model choice. For this purpose, we have derived analytical solutions of a more realistic model describing the time evolution of the labeled blood. The effects of varying arterial input parameters on the theoretical ASL signal have been investigated.
Thesis No: 61: Corneal Welding Via Infrared Lasers: in vitro & in vivo Studies
Advisor: Prof. Dr.Murat Gülsoy
Infrared lasers can be used to weld soft tissues. Water molecules and also protein molecules such as collagen absorb the infrared energy and a temperature gradient can be created at the application site. Objective of this PhD thesis is to investigate the potential of infrared lasers for welding tissue to contact lens and also for cornea welding in order to seal corneal cuts done during cataract surgery. One of the new application in the field is our study about amniotic membrane welded to contact lens by 1470-nm diode laser: a novel method for sutureless amniotic membrane transplantation. This study showed a new method for laser welding of a tissue to contact lens for ophthalmologic application. Corneal welding is rather a new application area in laser medicine, and few studies reported successful welding dose for different infrared wavelengths. Full thickness, oneplane 3.2 mm long clear corneal cuts were done using a pre-calibrated knife. Laser power and irradiation duration were the parameters used and histological indicators of photothermal effect were observed. In the field of corneal laser welding we made experiments which 809-nm, 908-nm, 1070-nm and 1980-nm laser used to weld clear corneal incisions. According to these in-vitro studies and their histologic results, another experiment was planned to compare 1070-nm and 1890-nm wavelengths which we found the best results in previous studies. In this thesis, in vitro cornea laser welding experiments were performed also with 1470-nm diode laser which have high water absorption. According to preliminary results; in-vivo rabbit study was planned with the best two energy parameters options of 1470-nm diod laser which we had with the in-vitro study. Full thickness, one-plane 3.2 mm long clear corneal cuts were done using a pre-calibrated knife under anesthesia. After irradiation, rabbit cornea’s were observed in postoperative first day, first week, second week and forth week. In this thesis it is possible to find a wide range of studies and their results about laser welding. In the light of the findings of these studies it may be predicted that laser welding applications will have much more place in all biomedical applications.