Addressing Motion Blurs in Brain MRI Scans Using Conditional Adversarial Networks and Simulated Curvilinear Motions

In-scanner head motion often leads to degradation in MRI scans and is a major source of error in diagnosing brain abnormalities. Researchers have explored various approaches, including blind and nonblind deconvolutions, to correct the motion artifacts in MRI scans. Inspired by the recent success of...

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Detalles Bibliográficos
Autores principales: Li, Shangjin, Zhao, Yijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027264/
https://www.ncbi.nlm.nih.gov/pubmed/35448211
http://dx.doi.org/10.3390/jimaging8040084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027264/
https://www.ncbi.nlm.nih.gov/pubmed/35448211
http://dx.doi.org/10.3390/jimaging8040084

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