Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis

Motion artifacts deteriorate the quality of magnetic resonance (MR) images. This study proposes a new method to detect phase-encoding (PE) lines corrupted by motion and remove motion artifacts in MR images. 67 cases containing 8710 slices of axial T2-weighted images from the IXI public dataset were...

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Detalles Bibliográficos
Autores principales: Cui, Long, Song, Yang, Wang, Yida, Wang, Rui, Wu, Dongmei, Xie, Haibin, Li, Jianqi, Yang, Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815594/
https://www.ncbi.nlm.nih.gov/pubmed/36603007
http://dx.doi.org/10.1371/journal.pone.0278668

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815594/
https://www.ncbi.nlm.nih.gov/pubmed/36603007
http://dx.doi.org/10.1371/journal.pone.0278668

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