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

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

PURPOSEDeep 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 the...

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Bibliographic Details
Main Authors: Satomu Hanamatsu, Kazuhiro Murayama, Yoshiharu Ohno, Kaori Yamamoto, Masao Yui, Hiroshi Toyama
Format: Article
Language:English
Published: Galenos Publishing House 2023-09-01
Series:Diagnostic and Interventional Radiology
Subjects:
brain
magnetic resonance imaging
diffusion
intravoxel incoherent motion
deep learning reconstruction
Online Access: http://www.dirjournal.org/archives/archive-detail/article-preview/deep-learning-reconstruction-for-brain-diffusion-w/61479

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