ORIGINAL RESEARCH article

Front. Neurol.

Sec. Artificial Intelligence in Neurology

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1558927

This article is part of the Research TopicTechnology Developments and Clinical Applications of Artificial Intelligence in Neurodegenerative DiseasesView all 5 articles

The Value of Fast Dixon Combined with Deep Learning Technology in Contrast Agent-Free High-Resolution Magnetic Resonance Imaging of the Brachial Plexus

Provisionally accepted
Si  XieSi Xie1Xuehui  DuXuehui Du2Zhitao  ZhangZhitao Zhang2Guangxiang  ChenGuangxiang Chen1*
  • 1Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
  • 2Siemens Healthineers (China), Shanghai, Shanghai Municipality, China

The final, formatted version of the article will be published soon.

This study aimed to investigate the application of Fast Dixon combined with the deep resolve gain (DRG) technique for enhancing the image quality of the brachial plexus on highresolution MRI without the use of contrast agents.Methods: Heavily T2-weighted Fast Dixon high-resolution coronal thin-slice magnetic resonance imaging was conducted on 19 social volunteers. Post-scan, the original data underwent reconstruction using deep learning-based denoising technology. Subjective quality scores were assigned to both the original and MIP images, and those processed with and without denoising technology were compared. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) values for each segment of the bilateral brachial plexus were measured and analyzed to assess image quality.Results: Subjective evaluations revealed that the quality of both original thin-slice and thin-MIP images processed with the DRG significantly outperformed those processed without the DRG (original thin-slice P = 0.005, thin-MIP P<0.05). The bilateral SNRs and CNRs of each anatomical structure (root, trunk, cord, branch) of the brachial plexus in the experimental group with DRG were significantly greater than those in the control group without DRG (P<0.05), as follows: the SNRs of the bilateral nerve roots increased by 35.1-36.2%, the SNRs of the bilateral nerve trunks increased by 40.6-40.8%, and the SNRs of the bilateral nerve cords and branches increased by about 40-45%. The CNR of the bilateral nerve roots increased by 43.1-44.6%, the CNR of the bilateral nerve trunks increased by 41.8-41.7%, and the CNR of the bilateral nerve cords and branches increased by 47.3-50.6% (root P<0.001, trunk P<0.001, cord P = 0.001, branch P = 0.011).Fast Dixon T2WI can enhance the visibility of brachial plexus segments to a certain extent through DRG denoising technology, which may be an effective means to visualize the brachial plexus without contrast agent.

Keywords: Brachial plexus1, Magnetic Resonance Imaging2, Fast Dixon3, Deep Learning4, contrast agent-free5

Received: 11 Jan 2025; Accepted: 09 May 2025.

Copyright: © 2025 Xie, Du, Zhang and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Guangxiang Chen, Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China

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