Depth-adaptive regularized reconstruction for reflection diffuse optical tomography
Depth-adaptive regularized reconstruction for reflection diffuse optical tomography
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DOI：
10.1007/s10043-008-0009-9
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发表时间：
2008-01-01
期刊：
影响因子：
1.2
通讯作者：
Nakayama, Kiyoshi
中科院分区：
文献类型：
--
作者：
Endoh, Reiko;Fujii, Mamiko;Nakayama, Kiyoshi
我们使用半无限介质表面的二维（2D）连续波源-探测器阵列研究反射漫射光学层析成像，旨在对人类大脑皮质的灌注和血红蛋白氧饱和度随大脑激活的变化进行成像。我们以前制定的反问题与摩尔-彭罗斯反演。当我们在这个逆问题中使用简单的正则化时，重建灵敏度随着深度显著降低，使得在深范围中的信号可能被在浅范围中的不需要的信号掩蔽。在本文中，我们提出了一种深度自适应正则化重建，其中我们分配一个较小的正则化参数的深度。我们证明了改进的三维（3D）重建的均匀性，使用所提出的计划。(C)2008年，日本光学学会。
We study reflection diffuse optical tomography using two-dimensional (2D) continuous-wave source-detector arrays on the surface of semi-infinite medium, aiming at imaging the perfusion and the hemoglobin oxygen saturation variation of human cerebral cortex with brain activation. We had previously formulated the inverse problem with Moore-Penrose inversion. When we use simple regularization in this inverse problem, the reconstruction sensitivity decreases markedly with the depth so that the signal in the deep range may be masked by an unwanted signal in the shallow range. In this paper, we propose a depth-adaptive regularized reconstruction, in which we assign a smaller regularization parameter with the depth. We demonstrate improvement of the three-dimensional (3D) reconstruction uniformity using the proposed scheme. (C) 2008 The Optical Society of Japan.