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. 其他題名： Appl Opt 出版者： United States 出版日期： 2013-02-20 出處： Applied optics (2004), 2013-02, Vol.52 (6), p.1173-1182 資源來源： Optica Publishing Group Journals 識別號： ISSN: 1559-128X 識別號： EISSN: 2155-3165 識別號： EISSN: 1539-4522 識別號： DOI: 10.1364/AO.52.001173 識別號： PMID: 23434988
