Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning

OBJECTIVES: Multiple b-value gas diffusion-weighted MRI (DW-MRI) enables non-invasive and quantitative assessment of lung morphometry, but its long acquisition time is not well-tolerated by patients. We aimed to accelerate multiple b-value gas DW-MRI for lung morphometry using deep learning. METHODS...

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Detalles Bibliográficos
Autores principales: Duan, Caohui, Deng, He, Xiao, Sa, Xie, Junshuai, Li, Haidong, Zhao, Xiuchao, Han, Dongshan, Sun, Xianping, Lou, Xin, Ye, Chaohui, Zhou, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276538/
https://www.ncbi.nlm.nih.gov/pubmed/34255160
http://dx.doi.org/10.1007/s00330-021-08126-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276538/
https://www.ncbi.nlm.nih.gov/pubmed/34255160
http://dx.doi.org/10.1007/s00330-021-08126-y

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