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Improvement of peripheral nerve visualization using a deep learning-based MR reconstruction algorithm.

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Bibliographic Details
Title: Improvement of peripheral nerve visualization using a deep learning-based MR reconstruction algorithm.
Authors: Zochowski KC; Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America., Tan ET; Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America., Argentieri EC; Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America., Lin B; Department of Biostatistics, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America., Burge AJ; Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America., Queler SC; Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America., Lebel RM; GE Healthcare Canada, Calgary, Canada., Sneag DB; Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America. Electronic address: sneagd@hss.edu.
Source: Magnetic resonance imaging [Magn Reson Imaging] 2022 Jan; Vol. 85, pp. 186-192. Date of Electronic Publication: 2021 Oct 29.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8214883 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5894 (Electronic) Linking ISSN: 0730725X NLM ISO Abbreviation: Magn Reson Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-5894
DOI:10.1016/j.mri.2021.10.038