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

D B Sneag1,2, S C Queler3,4, G Campbell3

  • 1Department of Radiology and Imaging, Hospital for Special Surgery, 535 E. 70Th St., New York, NY, 10021, USA. sneagd@hss.edu.

Skeletal Radiology
|November 2, 2023
PubMed
Summary
This summary is machine-generated.

Deep learning reconstruction (DLR) with faster 3D magnetic resonance neurography (MRN) scans offers comparable image quality to standard, longer scans. This advancement may enable the replacement of current non-DLR protocols with more efficient DL-enabled ones.

Keywords:
Artificial IntelligenceBrachial PlexusDeep LearningMagnetic Resonance NeurographyPeripheral NervesThree-Dimensional Imaging

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Area of Science:

  • Radiology
  • Medical Imaging
  • Artificial Intelligence in Medicine

Background:

  • Brachial plexus imaging is crucial for diagnosing neurological conditions.
  • Standard 3D MRN protocols can be time-consuming.
  • Deep learning reconstruction (DLR) is an emerging technique to enhance image quality and reduce scan times.

Purpose of the Study:

  • To compare the image quality of fast, unilateral brachial plexus 3D MRN acquisitions with DLR to standard, longer scans without DLR.
  • To determine if DLR can maintain or improve image quality while reducing acquisition time.

Main Methods:

  • A prospective cohort of 30 subjects underwent 3.0T brachial plexus 3D MRN.
  • Both 'standard' (longer) and 'fast' (23-48% time reduction) scans were acquired.
  • Images were reconstructed with and without DLR, and quantitatively (SNR, sharpness) and qualitatively (motion, nerve conspicuity, morphology) assessed by three raters.

Main Results:

  • DLR significantly improved SNR and edge sharpness compared to non-DLR in both standard and fast scans.
  • 'Fast' scans with DLR demonstrated quantitative (SNR, sharpness) and qualitative (motion, nerve conspicuity, morphology) image quality comparable to 'standard' scans without DLR.
  • High inter-rater agreement was observed for qualitative assessments.

Conclusions:

  • Fast 3D MRN acquisitions utilizing DLR achieve image quality similar to standard, non-DLR protocols.
  • DL-enabled, faster protocols have the potential to replace current optimized non-DL MRN techniques for brachial plexus imaging.
  • This suggests improved efficiency and patient comfort in brachial plexus neurography.