Abstract:To alleviate the ill-posed of the inverse problem in Fluorescent
molecular tomography (FMT), many regularization methods based on L 2 or
L 1 norm have been proposed. Whereas, the quality of regularization
parameters affect the performance of the reconstruction algorithm. Some
classical parameter selection strategies usually need initialization of
parameter range and high computing costs, which is not universal in the
practical application of FMT. In this paper, an universally applicable
adaptive parameter sele… Show more
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