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Two-dimensional inverse problem of diffusion tomography: the approach applicable for small inclusions

机译:扩散层析成像的二维逆问题:适用于小包裹体的方法

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摘要

A method for solving the two-dimensional inverse problems of optical diffusion tomography is proposed. The method is especially designed for the imaging pf small inclusions embedded in the backgrounds of strongly scattering media. Numerical simulations show that the results are stable with respect to external noise at the boundary of the sample. The location of an inclusion is obtained with an accuracy of the order of several photon transport mean-free paths in the medium in cases both with and without noise in the scattering data used for the solution of the inverse problem. (C) 1998 Optical Society of America. [References: 9]
机译:提出了一种解决光学扩散层析成像二维反问题的方法。该方法专门设计用于对强散射介质背景中嵌入的小夹杂物进行成像。数值模拟表明,结果相对于样品边界处的外部噪声是稳定的。在用于求解反问题的散射数据中有噪声和无噪声的情况下,都可以在介质中以几条光子传输无均值路径的数量级的精度获得夹杂物的位置。 (C)1998年美国眼镜学会。 [参考:9]

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