Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction

Fast and low-dose reconstructions of medical images are highly desired in clinical routines. We propose a hybrid deep-learning and iterative reconstruction (hybrid DL-IR) framework and apply it for fast magnetic resonance imaging (MRI), fast positron emission tomography (PET), and low-dose computed...

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Detalles Bibliográficos
Autores principales: Liao, Shu, Mo, Zhanhao, Zeng, Mengsu, Wu, Jiaojiao, Gu, Yuning, Li, Guobin, Quan, Guotao, Lv, Yang, Liu, Lin, Yang, Chun, Wang, Xinglie, Huang, Xiaoqian, Zhang, Yang, Cao, Wenjing, Dong, Yun, Wei, Ying, Zhou, Qing, Xiao, Yongqin, Zhan, Yiqiang, Zhou, Xiang Sean, Shi, Feng, Shen, Dinggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394257/
https://www.ncbi.nlm.nih.gov/pubmed/37467726
http://dx.doi.org/10.1016/j.xcrm.2023.101119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394257/
https://www.ncbi.nlm.nih.gov/pubmed/37467726
http://dx.doi.org/10.1016/j.xcrm.2023.101119

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