Improved sparse reconstruction for fluorescence molecular tomography with L_1/2 regularization
نویسندگان
چکیده
منابع مشابه
A fast reconstruction algorithm for fluorescence molecular tomography with sparsity regularization.
Through the reconstruction of the fluorescent probe distributions, fluorescence molecular tomography (FMT) can three-dimensionally resolve the molecular processes in small animals in vivo. In this paper, we propose an FMT reconstruction algorithm based on the iterated shrinkage method. By incorporating a surrogate function, the original optimization problem can be decoupled, which enables us to...
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Sparse reconstruction inspired by compressed sensing has attracted considerable attention in fluorescence molecular tomography (FMT). However, the columns of system matrix used for FMT reconstruction tend to be highly coherent, which means L1 minimization may not produce the sparsest solution. In this paper, we propose a novel reconstruction method by minimization of the difference of L1 and L2...
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Fluorescence molecular tomography (FMT) is an imaging modality that exploits the specificity of fluorescent biomarkers to enable 3D visualization of molecular targets and pathways in vivo in small animals. Owing to the high degree of absorption and scattering of light through tissue, the FMT inverse problem is inherently ill-conditioned making image reconstruction highly susceptible to the effe...
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ژورنال
عنوان ژورنال: Biomedical Optics Express
سال: 2015
ISSN: 2156-7085,2156-7085
DOI: 10.1364/boe.6.001648