Inverse solution regularized with the edge-preserving constrain for NIR DOT

Min Cheng Pan, Liang Yu Chen, Min Chun Pan, Chien Hung Chen

研究成果: 會議貢獻類型會議論文同行評審

1 引文 斯高帕斯(Scopus)


A well known problem associated with the diffuse optical tomography (DOT) is the reconstructed optical-property images suffer from low spatial resolution due to the diffusive nature of the light. It is noted that image reconstruction to find a inverse solution for DOT is an ill-posed problem [1]. Tikhonov regularization is a method of incorporating a priori assumptions or constraints about the desired solution, which converts an ill-posed problem into a well-posed problem. An iterative solution to the optimization problem was developed using the Tikhonov regularization with the optimal constraints regarding as a prior knowledge into the objective function. In this study, we focused on the edge-preserving constraint whereas concerning the improvement on the spatial resolution, rather than using structural prior information as the constraint in the objective function [2-6].

出版狀態已出版 - 2008
事件Biomedical Optics, BIOMED 2008 - St. Petersburg, FL, United States
持續時間: 16 3月 200819 3月 2008


???event.eventtypes.event.conference???Biomedical Optics, BIOMED 2008
國家/地區United States
城市St. Petersburg, FL


深入研究「Inverse solution regularized with the edge-preserving constrain for NIR DOT」主題。共同形成了獨特的指紋。