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Phantom and clinical evaluation of the Bayesian penalized likelihood reconstruction algorithm Q.Clear on an LYSO PET/CT system
Q.Clear, a Bayesian penalized likelihood reconstruction algorithm for PET, was recently introduced by GE Healthcare on their PET scanners to improve clinical image quality and quantification. In this work, we determined the optimum penalization factor (beta) for clinical use of Q.Clear and compared...
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| Publicado no: | J Nucl Med |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4558942/ https://ncbi.nlm.nih.gov/pubmed/26159585 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2967/jnumed.115.159301 |
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