漫反射光学成像
奇异值分解
断层摄影术
加权
反演(地质)
计算机科学
光学层析成像
光学
算法
反问题
乳房成像
乳腺癌
乳腺摄影术
物理
数学
数学分析
声学
地质学
内科学
古生物学
癌症
构造盆地
医学
作者
Yiwen Ma,Limin Zhang,Mengyu Jia,Pengfei Zhang,Feng Gao
出处
期刊:Applied Optics
[Optica Publishing Group]
日期:2022-05-19
卷期号:61 (22): G38-G38
被引量:2
摘要
Time-domain diffuse optical tomography can efficiently reconstruct both absorption and reduced scattering coefficients but is heavily limited by the ill-posedness in its inverse problem and low spatial resolution. To deal with these adversities, the truncated singular value decomposition (TSVD)-based whole-weighting-matrix inversion scheme can be a particularly suitable implementation. Unfortunately, TSVD is subject to a storage challenge for three-dimensional imaging of a bulk region, such as breast. In this paper, a multi-scale mesh strategy based on computed tomography (CT) anatomical geometry is adopted to solve the storage challenge, where a fine mesh is used in forward calculation to ensure accuracy, and a coarse mesh in the inversion process to enable TSVD-based inversion of the whole-weighting matrix. We validate the proposed strategy using simulated data for a single lesion model from clinical positron emission tomography images of a breast cancer patient, and further, for a complex model that is constructed by setting dual lesions at different separations in the CT breast geometry.
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