Optimized 3D brachial plexus MR neurography using deep learning reconstruction-Reference-Cited by-同舟云学术

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Optimized 3D brachial plexus MR neurography using deep learning reconstruction

Published:2023-11-02 Issue: Volume: Page:
ISSN:0364-2348
Container-title:Skeletal Radiology
language:en
Short-container-title:Skeletal Radiol

Author:

Sneag D. B.,Queler S. C.,Campbell G.,Colucci P. G.,Lin J.,Lin Y.,Wen Y.,Li Q.,Tan E. T.

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s00256-023-04484-4.pdf

Reference20 articles.

1. Sun S, Tan ET, Mintz DN, et al. Evaluation of deep learning reconstructed high-resolution 3D lumbar spine MRI. Eur Radiol. 2022;32(9):6167–77. https://doi.org/10.1007/s00330-022-08708-4.

2. Sahr M, Tan ET, Sneag DB. 3D MRI of the Spine. Semin Musculoskelet Radiol. 2021;25(3):433–40. https://doi.org/10.1055/s-0041-1731060.

3. Davidson EJ, Tan ET, Pedrick EG, Sneag DB. Brachial Plexus Magnetic Resonance Neurography: Technical Challenges and Solutions. Invest Radiol. 2023;58(1):14–27. https://doi.org/10.1097/RLI.0000000000000906.

4. Sneag DB, Mendapara P, Zhu JC, et al. Prospective respiratory triggering improves high-resolution brachial plexus MRI quality. J Magn Reson Imaging. 2019;49(6):1723–9. https://doi.org/10.1002/jmri.26559.

5. Chaudhari AS, Fang Z, Kogan F, et al. Super-resolution musculoskeletal MRI using deep learning. Magn Reson Med. 2018;80(5):2139–54. https://doi.org/10.1002/mrm.27178.

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