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.