Accelerated Acquisition of High-resolution Diffusion-weighted Imaging of the Brain with a Multi-shot Echo-planar Sequence: Deep-learning-based Denoising

To accelerate high-resolution diffusion-weighted imaging with a multi-shot echo-planar sequence, we propose an approach based on reduced averaging and deep learning. Denoising convolutional neural networks can reduce amplified noise without requiring extensive averaging, enabling shorter scan times...

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Detalles Bibliográficos
Autores principales: Kawamura, Motohide, Tamada, Daiki, Funayama, Satoshi, Kromrey, Marie-Luise, Ichikawa, Shintaro, Onishi, Hiroshi, Motosugi, Utaroh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society for Magnetic Resonance in Medicine 2020
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952209/
https://www.ncbi.nlm.nih.gov/pubmed/32147643
http://dx.doi.org/10.2463/mrms.tn.2019-0081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952209/
https://www.ncbi.nlm.nih.gov/pubmed/32147643
http://dx.doi.org/10.2463/mrms.tn.2019-0081

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