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.