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.

Detalles Bibliográficos
Publicado en:Diagnostic & Interventional Radiology Vol. 29; no. 5; pp. 664 - 674
Autores principales: Satomu Hanamatsu, Kazuhiro Murayama, Yoshiharu Ohno, Kaori Yamamoto, Masao Yui, Hiroshi Toyama
Formato: Journal Article
Publicado: Galenos Yayinevi Tic. LTD. STI Sep2023
Acceso en línea:Ver este registro en EBSCOhost
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        atl: 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.
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          Satomu Hanamatsu
          Kazuhiro Murayama
          Yoshiharu Ohno
          Kaori Yamamoto
          Masao Yui
          Hiroshi Toyama
        affil: Department of Radiology, Fujita Health University School of Medicine, Toyoake, Japan
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    language: English
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