Study Of FMT Forward Problem Based On Monte Carlo Method And Its Implementation

With the rapid development of the medical treatment technology and equipment, the medical imaging techniques have gone through three stages: structure imaging, functional imaging and molecular imaging. Molecular imaging is to study biological process in vivo at the cellular and molecular levels, which opens up a new area for medical imaging. As one of the most important optical molecular imaging technologies, fluorescence molecular imaging (FMT) provides a great potential for the clinical applications because of its advantages in low price, non-ionizing radiation and stable agents. It has become a research hotspot in the field of optical molecular imaging.The relevant algorithms for FMT involve two aspects, the forward problem and the inverse problem. Both of the two problems are introduced in this thesis. One of the focuses of this thesis is the study and analysis of the forward problem based on the Monte Carlo method. Comparison simulations with finite element method (FEM) are performed to verify the feasibility and validity of Monte Carlo method based forward problem algorithm.Molecular Optical Simulation Environment (MOSE) is a simulation platform developed by our research group for the simulation of bioluminescence tomography (BLT), which limits its application in the field of optical molecular imaging. The other focus of this thesis is the improvement of the platform, including the user interface and the algorithm module. The algorithm for FMT forward problem based on Monte Carlo method is added into the algorithm module, which realizes the visualization of the simulation results. With the help of the platform, much repetitious work can be avoided and the research of imaging algorithm can be promoted.