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Research progress of anterior cruciate ligament injury of knee using MRI: Based on deep learning
WANG Mei  XU Honggang  ZHANG Xiaodong 

Cite this article as: Wang M, Xu HG, Zhang XD. Research progress of anterior cruciate ligament injury of knee using MRI: Based on deep learning[J]. Chin J Magn Reson Imaging, 2022, 13(4): 166-170. DOI:10.12015/issn.1674-8034.2022.04.037.


[Abstract] Magnetic resonance imaging is the preferred non-invasive assessment method for anterior cruciate ligament injuries of the knee. At present, the diagnosis of anterior cruciate ligament injury mainly relies on the clinical experience of radiologists and is time-consuming and labor-intensive. Deep learning is an arising meaningful branch of machine learning, which uses neural networks as the architecture and characterizes data for learning. In recent years, the main application of deep learning in anterior cruciate ligament of the knee joint focused on anterior cruciate ligament segmentation and injury classification (including binary classification and multi-classification), but researches on segmentation of injured ligaments and prediction of related diseases are still in an initial stage. Nevertheless, deep learning can quickly achieve the automatic segmentation of anterior cruciate ligament and the classification assessment of anterior cruciate ligament injury simultaneously, which can significantly improve the productiveness of radiologists. In this paper, we review the research on MRI-based on deep learning in anterior cruciate ligament injuries of the knee.
[Keywords] deep learning；magnetic resonance imaging；anterior cruciate ligament；injury；progression；reviews

WANG Mei1   XU Honggang1   ZHANG Xiaodong2*  

1 Department of Radiology, Guangzhou First People's Hospital Nansha Hospital, Guangzhou 511458, China

2 Department of radiology, the Third Affiliated Hospital, Southern Medical University (Academy of orthopedics Guangzhou), Guangzhou 510630, China

Zhang XD, E-mail: ddautumn@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Dean's Fund Project of the Third Affiliated Hospital of Southern Medical University.
Received  2022-01-01
Accepted  2022-03-23
DOI: 10.12015/issn.1674-8034.2022.04.037
Cite this article as: Wang M, Xu HG, Zhang XD. Research progress of anterior cruciate ligament injury of knee using MRI: Based on deep learning[J]. Chin J Magn Reson Imaging, 2022, 13(4): 166-170. DOI:10.12015/issn.1674-8034.2022.04.037.

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