Ultrafast cervcial spine MRI protocol using deep learning-based reconstruction: Diagnostic equivalence to a conventional protocol.

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Title: Ultrafast cervcial spine MRI protocol using deep learning-based reconstruction: Diagnostic equivalence to a conventional protocol.
Authors: Kashiwagi N; Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Japan. Electronic address: nobuo.kashiwagi@oici.jp., Sakai M; Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Japan. Electronic address: mio.sakai@oici.jp., Tsukabe A; Department of Radiology, Toyonaka Municipal Hospital, Japan., Yamashita Y; Canon Medical Systems Corporation, Japan. Electronic address: yuichi.yamashita@medical.canon., Fujiwara M; Department of Radiology, Osaka Medical and Pharmaceutical University Hospital, Japan. Electronic address: masahiro.fujiwara@ompu.ac.jp., Yamagata K; Department of Radiology, Osaka University Graduate School of Medicine, Japan. Electronic address: k-yamagata@radiol.med.osaka-u.ac.jp., Nakamoto A; Department of Future Diagnostic Radiology, Osaka University Graduate School of Medicine, Japan. Electronic address: a-nakamoto@radiol.med.osaka-u.ac.jp., Nakanishi K; Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Japan. Electronic address: je2k-nkns@oici.jp., Tomiyama N; Department of Radiology, Osaka University Graduate School of Medicine, Japan. Electronic address: tomiyama@radiol.med.osaka-u.ac.jp.
Source: European journal of radiology [Eur J Radiol] 2022 Nov; Vol. 156, pp. 110531. Date of Electronic Publication: 2022 Sep 21.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 8106411 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7727 (Electronic) Linking ISSN: 0720048X NLM ISO Abbreviation: Eur J Radiol Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-7727
DOI:10.1016/j.ejrad.2022.110531