Restoration of amyloid PET images obtained with short-time data using a generative adversarial networks framework

Abstract 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 i...

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Autores principales: Young Jin Jeong, Hyoung Suk Park, Ji Eun Jeong, Hyun Jin Yoon, Kiwan Jeon, Kook Cho, Do-Young Kang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/45e7f2ba87c843b8884d08ce8c70d9f5
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