Optimized 3D brachial plexus MR neurography using deep learning reconstruction.

Journal: Skeletal radiology
PMID: 37914895

Abstract

OBJECTIVE: To evaluate whether 'fast,' unilateral, brachial plexus, 3D magnetic resonance neurography (MRN) acquisitions with deep learning reconstruction (DLR) provide similar image quality to longer, 'standard' scans without DLR.

Authors

  • D B Sneag
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E. 70Th St., New York, NY, 10021, USA. sneagd@hss.edu.
  • S C Queler
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E. 70Th St., New York, NY, 10021, USA.
  • G Campbell
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E. 70Th St., New York, NY, 10021, USA.
  • P G Colucci
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E. 70Th St., New York, NY, 10021, USA.
  • J Lin
    Department of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.
  • Y Lin
  • Y Wen
    GE Healthcare, Waukesha, WI, USA.
  • Q Li
    Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China.
  • E T Tan
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E. 70Th St., New York, NY, 10021, USA.

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