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Monte Carlo Simulation of Cellular Optical Coherence Tomography (OCT) Images of Brain Tissue

Monte Carlo Simulation of Cellular Optical Coherence Tomography (OCT) Images of Brain Tissue
type:Master thesis

M.Sc. Yilun Su

person in charge:

B.Sc. Farhan Rafdionza

Optical Coherence Tomography (OCT) has been used as a diagnostic tool in ophthalmology for over a decade, for it allows for in-vivo and in-situ information of eye biometry and retina layers. Compared to imaging relative transparent tissue, the ability of OCT for imaging highly scattering biological tissue is of great research interest as well. In brain tumor surgery, an intraoperative diagnostic method for identifying tumorous cells can greatly benefit the surgery results and increase the quality of life of the patients. Optical Coherence Microscopy (OCM) permits higher lateral resolution as conventional OCT. Moreover, the combination of confocal gate and coherence gate provides better rejection of multiple-scattered photons. OCM has the potential to achieve cellular resolution in brain tissue. A simulation model with brain cell geometry and optical properties can be used to better understand the origin of the image contrast of OCT systems on brain tissue and can help the interpretation of experimental signals.

Project Description
Monte Carlo method has been widely used for simulating light-tissue interaction and specifically OCT signals from turbid tissue. It allows tracking of scattered photons guarded by Rayleigh theory. In this work, the student will develop cell models consists of intracellular space and cell nucleus, more specifically a multi-layered spherical model. Define the corresponding optical properties of each part of the model and adapt an open-source Monte Carlo simulation to the developed cell model. The aim is to find out the contrast between the intracellular space and cell nucleus for a high resolution OCT system.