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Quantitative and Qualitative Improvement of Low-Count [(68)Ga]citrate and [(90)Y]microspheres PET Image Reconstructions using Block Sequential Regularized Expectation Maximization Algorithm

PURPOSE: There are several important positron emission tomography (PET) imaging scenarios that require imaging with very low photon statistics, for which both quantitative accuracy and visual quality should not be neglected. For example, PET imaging with the low photon statistics is closely related...

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Dettagli Bibliografici
Pubblicato in:Mol Imaging Biol
Autori principali: Seo, Youngho, Khalighi, Mohammad Mehdi, Wangerin, Kristen A., Deller, Timothy W., Wang, Yung-Hua, Jivan, Salma, Kohi, Maureen P., Aggarwal, Rahul, Flavell, Robert R., Behr, Spencer C., Evans, Michael J.
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2020
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6800603/
https://ncbi.nlm.nih.gov/pubmed/30993558
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11307-019-01347-0
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