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Semi-three-dimensional algorithm for time-resolved diffuse optical tomography by use of the generalized pulse spectrum technique

机译:利用广义脉冲谱技术的时间分辨漫射光学层析成像的半三维算法

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摘要

Although a full three-dimensional (3-D) reconstruction with both 3-D forward and inverse models provides 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 data. 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. (C) 2002 Optical Society of America. [References: 30]
机译:尽管同时具有3-D正向和反向模型的完整三维(3-D)重建为漫射光学层析成像(DOT)提供了最佳解决方案,但由于组织中光子扩散的3-D性质,其计算成本很高常规计算环境中的内存需求和执行时间。因此,在实践中有动机基于一些建模近似来开发具有降维的图像重建算法。在这里,我们为时间分辨DOT实现了一种半3D修改的广义脉冲光谱技术,其中近似假定了光学特性的二维(2-D)分布,而在此情况下,我们保留了光子迁移的3D分布。组织。我们已经从数值模拟和实验数据中重建了3-D结构测试对象,从而验证了该算法的有效性。我们通过将其与广泛用作3D成像捷径的经过校准的2D重建进行比较来证明我们的算法,并证明Semi-3-D算法优于经校准的2D算法。 (C)2002年美国眼镜学会。 [参考:30]

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