Compressed Sensing Artificial Intelligence for 3D MR neurography of the brachial
Motivation: Compressed Sensing Artificial Intelligence (CSAI) enhance the image contrast and accelerate the speed of MRI. 3D MR neurography (MRN) needs fast and high-quality images to improve the success rate of examination. Goal(s): To investigate whether CSAI-based MRN can ensure 3D MRN image quality at high scanning speed. Approach: After injecting the contrast agent, the 3D-MSDE-STIR-NerveView sequence was performed under different CSAI acceleration factors. The image quality under high CSAI acceleration factors was compared with that of normal CS acceleration factors. Results: 3D MRN images obtained under a CSAI acceleration factor of 12 still have high quality and meet the needs of clinical diagnosis Impact: CSAI can significantly reduce the imaging time of 3D MRN while ensuring image quality, which can improve the scanning experience of patients. Additionnal impact:The latest CSAI technique might promote more extensive clinical use of 3D MRN.
Authors
- Peng Sun (ORCID: https://orcid.org/0000-0001-6431-3119)
- Zhou Zhenyang
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/2974
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00