Feasibility of artificial intelligence-assisted fast magnetic resonance imaging technology in the ankle joint injury: a comparison of the proton density-weighted image
The iQMR technology can effectively shorten the scan time, improve the image quality without affecting the diagnostic accuracy, which is especially suitable for the motion artifacts-sensitive patients and optimizes clinical workflow.
Authors
- Luyi Wang (ORCID: https://orcid.org/0000-0003-0959-6966)
- Wenjuan Cao
- Haochong Chen (ORCID: https://orcid.org/0009-0000-5461-0822)
- Ping Guo (ORCID: https://orcid.org/0000-0003-3495-688X)
- Yuelong Cao (ORCID: https://orcid.org/0000-0001-5883-0347)
- Sihan Xu (ORCID: https://orcid.org/0000-0002-6887-6231)
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Dalian Medical University (CN)
Publication Details
- Journal
- Frontiers in Radiology
- Published
- 2025-10-24
- DOI
- https://doi.org/10.3389/fradi.2025.1673619
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00