Monte Carlo算法在扩散光层析成像重建中的应用及发展  

Application and development of Monte Carlo method in reconstruction of diffuse optical tomography system

作　　者：王雪峰[1,2] 陈兴稣[1] 苏金善[1,2] 王元庆[2] 

机构地区：[1]伊犁师范学院电子与信息工程学院,新疆伊宁835000 [2]南京大学电子科学与工程学院,南京210093

出　　处：《激光杂志》2016年第3期1-4,共4页Laser Journal

基　　金：国家科技重大专项(AHJ2011Z001)

摘　　要：Monte Carlo算法是一种数学统计方法,应用于随机过程的问题。扩散光层析成像重建中的正向问题,就是一个随机概率统计过程,Monte Carlo算法可以较好地模拟光子在组织体中的散射和吸收的过程,与真实情况非常接近。总结分析了Monte Carlo模拟的经典方法和几种改进的方法。给出了Monte Carlo算法在扩散光层析成像重建过程的主要应用及发展。Monte Carlo algorithm is a method of mathematical statistics and applied to the stochastic process. The forward problem in diffuse optical tomography reconstruction is a random probability statistical problem, Monte Carlo algorithm can simulate the process of scattering and absorption of the photon in the tissues, and the simulate result is very close to the truth. In this paper, the classic methods and several improved methods of Monte Carlo simulation are introduced and analyzed. The main application and development of Monte Carlo algorithm in diffuse optical tomography reconstruction are given.

关 键 词：MONTE Carlo算法 扩散光层析成像 白Monte Carlo 扰动Monte Carlo 

分 类 号：TN216[电子电信—物理电子学] Q63[生物学—生物物理学]