In Partial Fulfillment of the Requirements for the Degree of
Master of Science
Will defend his thesis
Magnetic Resonance Spectroscopy and Optical Spectroscopy are both the most common modalities for molecular and near-cellular imaging and they offer a new chance for evaluating tissue characteristic in situ. Nowadays, combining multimodality sensors on a single probe is an emerging and promising trend in multimodality approach.
The aim of this study is to create simulations for both MR Spectroscopy and Optical Spectroscopy in order to find out the effective areas of the sensors. Due to having MR Spectroscopy and Optical Spectroscopy on the same dual probe, this work presents two separate simulations. The first simulation was created to determine the powerful region of the miniature RF coils of the MRS, and the second simulation was programmed to detect the visible field of the tissue by using Optical Spectroscopy.
The coil simulation was created by using the Biot Savart Law in the C++ environment. Additionally, two more programs were developed to test the results and display the images. In order to test the accuracy of the simulation and to figure out the optimum values for the simulation parameters, the test software was coded. With the help of optimum values, the effective area can be spotted for four different geometrical shapes of the coils. Furthermore, the software may easily be converted to evaluate any kind of coils.
Light Induced Fluorescence simulation was formed by modifying the Monte Carlo light simulation for Multi Layer tissues (MCML) code by using the Standard C programming language. The MCML code was converted to compute photon transportation in one layer and to detect the fluorescence on light propagation for different probe geometries. Moreover, a GUI was built to create input file more easily and effectively, and a Matlab program was coded to display output file as a 3-D image.
The logic behind the simulations was explained comprehensively by introducing the related equations. The resulting output figures and data were presented in detail and the benefits and limitations of the simulations were discussed.
Date: Monday,December 2, 2013
Time: 2:00 PM
Place: PGH 362
Faculty, students, and the general public are invited.
Advisor: Dr. Nikolaos V. Tsekos