Gao Feng, Tanikawa Yukari, Zhao Huijuan, Yamada Yukio
Institute for Human Science and Biomedical Engineering, National Institute of Advanced Industrial Science and Technology, 1-2 Namiki, Tsukuba, Ibaraki 305-8564, Japan.
Appl Opt. 2002 Dec 1;41(34):7346-58. doi: 10.1364/ao.41.007346.
Although a foil three-dimensional (3-D) reconstruction with both 3-D forward and inverse models provide, the optimal solution for diffuse optical tomography (DOT), because of the 3-D nature of photon diffusion in tissue, it is computationally costly for both memory requirement and execution time in a conventional computing environment. Thus in practice there is motivation to develop an image reconstruction algorithm with dimensional reduction based on some modeling approximations. Here we have implemented a semi-3-D modified generalized pulse spectrum technique for time-resolved DOT, where a two-dimensional (2-D) distribution of optical properties is approximately assumed, while we retain 3-D distribution of photon migration in tissue. We have validated the proposed algorithm by reconstructing 3-D structural test objects from both numerically simulated and experimental date. We demonstrate our algorithm by comparing it with the calibrated 2-D reconstruction that is in widespread use as a shortcut to 3-D imaging and proving that the semi-3-D algorithm outperforms the calibrated 2-D algorithm.
尽管带有三维正向和逆向模型的箔片三维（3-D）重建为扩散光学层析成像（DOT）提供了最优解，但由于光子在组织中扩散的三维特性，在传统计算环境中，无论是内存需求还是执行时间，其计算成本都很高。因此，在实际应用中，有动力基于一些建模近似来开发一种具有降维功能的图像重建算法。在此，我们为时间分辨DOT实现了一种半三维改进广义脉冲谱技术，其中近似假定光学特性的二维（2-D）分布，同时保留光子在组织中迁移的三维分布。我们通过从数值模拟和实验数据重建三维结构测试对象来验证所提出的算法。我们将我们的算法与广泛用作三维成像捷径的校准二维重建进行比较，证明半三维算法优于校准二维算法，以此展示我们的算法。
