Restoration of amyloid PET images obtained with short-time data using a generative adversarial netwo...
Restoration of amyloid PET images obtained with short-time data using a generative adversarial networks framework
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Our purpose in this study is to evaluate the clinical feasibility of deep-learning techniques for F-18 florbetaben (FBB) positron emission tomography (PET) image reconstruction using data acquired in a short time. We reconstructed raw FBB PET data of 294 patients acquired for 20 and 2 min into standard-time scanning PET (PET
20m
) and short-t...
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Restoration of amyloid PET images obtained with short-time data using a generative adversarial networks framework
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TN_cdi_doaj_primary_oai_doaj_org_article_45e7f2ba87c843b8884d08ce8c70d9f5
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_45e7f2ba87c843b8884d08ce8c70d9f5
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-84358-8
