Deep learning reconstruction for brain diffusion-weighted imaging: efficacy for image quality improvement, apparent diffusion coefficient assessment, and intravoxel incoherent motion evaluation in in vitro and in vivo studies

PURPOSE: Deep learning reconstruction (DLR) to improve imaging quality has already been introduced, but no studies have evaluated the effect of DLR on diffusion-weighted imaging (DWI) or intravoxel incoherent motion (IVIM) in in vitro or in vivo studies. The purpose of this study was to determine th...

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Detalles Bibliográficos
Autores principales: Hanamatsu, Satomu, Murayama, Kazuhiro, Ohno, Yoshiharu, Yamamoto, Kaori, Yui, Masao, Toyama, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2023
Materias:
Artificial Intelligence and Informatics - Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679550/
https://www.ncbi.nlm.nih.gov/pubmed/37554957
http://dx.doi.org/10.4274/dir.2023.232149

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679550/
https://www.ncbi.nlm.nih.gov/pubmed/37554957
http://dx.doi.org/10.4274/dir.2023.232149

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