Optimized fast GPU implementation of robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction

BACKGROUND: Robust Artificial-neural-networks for k-space Interpolation (RAKI) is a recently proposed deep-learning-based reconstruction algorithm for parallel imaging. Its main premise is to perform k-space interpolation using convolutional neural networks (CNNs) trained on subject-specific autocal...

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Detalles Bibliográficos
Autores principales: Zhang, Chi, Hosseini, Seyed Amir Hossein, Weingärtner, Sebastian, Uǧurbil, Kâmil, Moeller, Steen, Akçakaya, Mehmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808331/
https://www.ncbi.nlm.nih.gov/pubmed/31644542
http://dx.doi.org/10.1371/journal.pone.0223315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808331/
https://www.ncbi.nlm.nih.gov/pubmed/31644542
http://dx.doi.org/10.1371/journal.pone.0223315

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