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Regularization Parameter Selection for Penalized-likelihood List-mode Image Reconstruction in PET
Penalized likelihood (PL) reconstruction has demonstrated potential to improve image quality of positron emission tomography (PET) over unregularized ordered-subsets expectation-maximization (OSEM) algorithm. However, selecting proper regularization parameters in PL reconstruction has been challengi...
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| Publicat a: | Phys Med Biol |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5783542/ https://ncbi.nlm.nih.gov/pubmed/28402287 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/aa6cdf |
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