基于GPU加速蒙特卡罗建模的时域荧光扩散层析方法  

A Methodology on Time-Domain Fluorescence Diffuse Optical Tomography Based on GPU-Accelerated Monte-Carlo Modeling

作　　者：易茜[1] 武林会[1] 王欣[1] 陈玮婷[1] 张丽敏[1] 赵会娟[1] 高峰[1] 

机构地区：[1]天津大学精密仪器与光电子工程学院,天津300072

出　　处：《中国激光》2013年第5期126-132,共7页Chinese Journal of Lasers

基　　金：国家自然科学基金(3097077;81271618;61108081);天津市自然科学基金重点项目(10JCZDJC17300)资助课题

摘　　要：为解决含有低散射、高吸收和空腔区域组织内扩散方程光子输运模型的不适用性,发展了基于图形处理单元(GPU)加速的任意复杂组织体光子输运的蒙特卡罗建模方法。在此基础上,提出了基于蒙特卡罗正向模型的时域荧光扩散层析广义脉冲谱技术法。模拟结果表明,与扩散方程相比,基于蒙特卡罗模拟的时域荧光扩散层析对含有低吸收高散射、低吸收低散射、高吸收低散射、高吸收高散射和空腔异质体的复杂组织体中荧光目标体的位置和形状都进行了更准确的重建,从而验证了这种荧光图像重建方法的通用性。A graphics processing unit （GPU） accelerated Monte Carlo （MC） approach is developed for modeling photon migration in an arbitrarily complex turbid medium, where the diffusion equation （DE） might behave an ineffective modeling tool. Then an image reconstruction algorithm of time-domain fluorescence diffuse optical tomography is proposed based on the developed GPU-accelerated MC calculations, within the framework of the generalized pulse spectrum technique. Simulated results show that the MC-based approach retrieves on the position and shape of the targets in complexly structured domain that include low absorbing and high scattering, low absorbing and low scattering, high absorbing and low scattering, high absorbing and high scattering, and/or void regions, with higher accuracy than the DE-based one, demonstrating the improved generality of the proposed method.

关 键 词：医用光学 荧光扩散层析 蒙特卡罗模拟 图形处理单元 时域 广义脉冲谱技术 

分 类 号：O436[机械工程—光学工程]