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An adaptive support driven reweighted L1-regularization algorithm for fluorescence molecular tomography
Fluorescence molecular tomography (FMT) is a promising in vivo functional imaging modality in preclinical study. When solving the ill-posed FMT inverse problem, L1 regularization can preserve the details and reduce the noise in the reconstruction results effectively. Moreover, compared with the regu...
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| Publicado no: | Biomed Opt Express |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Optical Society of America
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4242037/ https://ncbi.nlm.nih.gov/pubmed/25426329 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.5.004039 |
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