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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書誌詳細
出版年:Mol Imaging Biol
主要な著者: 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.
フォーマット: Artigo
言語:Inglês
出版事項: 2020
主題:
Article
オンライン･アクセス: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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