Super-resolution reconstruction for parallel-beam SPECT based on deep learning and transfer learning: a preliminary simulation study

BACKGROUND: Single-photon emission computed tomography (SPECT) is widely used in the early diagnosis of major diseases such as cardiovascular disease and cancer. High-resolution (HR) imaging requires HR projection data, which typically comes with high costs. This study aimed to obtain HR SPECT image...

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Detalles Bibliográficos
Autores principales: Cheng, Zhibiao, Wen, Junhai, Zhang, Jun, Yan, Jianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073770/
https://www.ncbi.nlm.nih.gov/pubmed/35530942
http://dx.doi.org/10.21037/atm-21-4363

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073770/
https://www.ncbi.nlm.nih.gov/pubmed/35530942
http://dx.doi.org/10.21037/atm-21-4363

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