Denoising diffusion weighted imaging data using convolutional neural networks

Diffusion weighted imaging (DWI) with multiple, high b-values is critical for extracting tissue microstructure measurements; however, high b-value DWI images contain high noise levels that can overwhelm the signal of interest and bias microstructural measurements. Here, we propose a simple denoising...

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Detalles Bibliográficos
Autores principales: Cheng, Hu, Vinci-Booher, Sophia, Wang, Jian, Caron, Bradley, Wen, Qiuting, Newman, Sharlene, Pestilli, Franco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477507/
https://www.ncbi.nlm.nih.gov/pubmed/36108272
http://dx.doi.org/10.1371/journal.pone.0274396

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477507/
https://www.ncbi.nlm.nih.gov/pubmed/36108272
http://dx.doi.org/10.1371/journal.pone.0274396

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