The Design Of The Platform In Vivo Optical Imaging And The Study Of Its Parallelization

Molecular imaging is a new interdisciplinary subject, involving the molecular biology, physics, mathematics, the information science, the radiation medicine and so on. In vivo optical imaging, one of the research focuses in molecular imaging, is a new imaging pattern. And its forward problem can be equivalent to solve the Boltzmann equation. Because its analytical solution usually could not find, we solve this equation using the diffusion equation, which is the simplified model of the Boltzmann equation, or a random statistical method, such as Monte Carlo method.In this paper, we do a deeply study in the Monte Carlo method. And redesign the Monte Carlo algorithm, shape and I/O module in MOSE-2.0, which is a in vivo optical image platform, based on MOSE-1.0.And perfect the boundary simulation and recording the surface energy in Monte Carlo module. Compared with the result from TracePro proves the correctness and stability of the platform.Secondly, we modify the generator of the random number, to improve the accuracy of the results, and optimize the algorithm of space location, which could reduce the space location time and the simulation time effectively. It can get the same effect in the MOSE platform.