Flexible near-infrared diffuse optical tomography with varied weighting functions of edge-preserving regularization

Liang Yu Chen, Min Cheng Pan, Min Chun Pan

研究成果: 雜誌貢獻期刊論文同行評審

18 引文 斯高帕斯(Scopus)

摘要

In this paper, a flexible edge-preserving regularization algorithm based on the finite element method is proposed to reconstruct the optical-property images of near-infrared diffuse optical tomography. This regularization algorithm can easily incorporate with varied weighting functions, such as a generalized Lorentzian function, an exponential function, or a generalized total variation function. To evaluate the performance, results obtained from Tikhonov or edge-preserving regularization are compared with each other. As found, the edge-preserving regularization with the generalized Lorentzian function is more attractive than that with other functions for the estimation of absorption-coefficient images concerning functional tomographic images to discover functional information of tested phantoms/tissues.

原文???core.languages.en_GB???
頁(從 - 到)1173-1182
頁數10
期刊Applied Optics
52
發行號6
DOIs
出版狀態已出版 - 20 2月 2013

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