AI-Driven CT-MRI Image Fusion and Segmentation for Automatic Preoperative Planning of ACL Reconstruction
The AI-driven segmentation of CT-MRI fusion images and automatic preoperative ACL reconstruction planning demonstrated the capability to automatically, precisely, and reproducibly generate plans for nearly ideal tunnel entry and exit points with isometric, anatomical, and individualization characteristics. This technology is expected to hold clinical potential for ACL reconstruction, including reduced complication and revision rates and enhanced postoperative function.
Authors
- Jixiang Dong (ORCID: https://orcid.org/0009-0006-5020-138X)
- Chunbao Li (ORCID: https://orcid.org/0000-0002-6513-8946)
- Yiling Zhang (ORCID: https://orcid.org/0009-0003-2623-3232)
- L N Wang (ORCID: https://orcid.org/0000-0002-9733-786X)
- Ai Guo (ORCID: https://orcid.org/0000-0002-4042-5682)
- Haomiao Yu (ORCID: https://orcid.org/0000-0003-4412-2221)
- Xingyu Liu (ORCID: https://orcid.org/0009-0001-4716-9968)
- Mingxin Wang (ORCID: https://orcid.org/0000-0001-6071-9429)
- Yibo Li (ORCID: https://orcid.org/0009-0000-9319-2360)
- Haipeng Li (ORCID: https://orcid.org/0000-0003-0620-6360)
- Qi Yao (ORCID: https://orcid.org/0000-0001-5408-9838)
- Yong Yang (ORCID: https://orcid.org/0009-0005-0611-1830)
- Yaoting Wang (ORCID: https://orcid.org/0009-0002-5724-8990)
- Yunqi Ge (ORCID: https://orcid.org/0009-0007-3143-963X)
- Yafang Zhang (ORCID: https://orcid.org/0009-0003-5624-862X)
Institutions
- Capital Medical University (CN)
- Chinese PLA General Hospital (CN)
- Valley Medical Center (US)
- Air Force General Hospital PLA (CN)
- Central Hospital of Wuhan (CN)
- Beijing Friendship Hospital (CN)
- Beijing Shijitan Hospital (CN)
- General Hospital of Central Theater Command
Publication Details
- Journal
- Journal of Bone and Joint Surgery
- Published
- 2025-12-09
- DOI
- https://doi.org/10.2106/jbjs.25.00485
- Primary Topic
- Knee injuries and reconstruction techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00