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Application of CT Three-Dimensional Image in the Diagnostic Evaluation and Treatment of Sports Knee Ligament Strain

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Objective: This paper explores the value of CT three-dimensional reconstruction image technology in the diagnosis and treatment of anterior cruciate ligament injury of the knee joint. Methods: The paper selected March 2017–April 2018 to treat and diagnose the reconstructed images in our hospital and imported them into MIMICSl0.01 for 3D reconstruction of the knee joint, and segmented and isolated the anterior cruciate ligament model. The lengths of the anterior and posterior outer edges of the anterior cruciate ligament separated at 0° and 90° were measured respectively: the angles between the anterior and posterior cruciate ligament at 90° to the horizontal plane. Comparison and analysis of CT 3D reconstruction measurement data with recognized autopsy data and arthroscopy measurement data. Results: The positive rate of "anterior cruciate ligament injury" diagnosed by three-dimensional CT was 93.33%. The CT 3D reconstruction measurement data is not significantly different from the accepted anterior cruciate ligament cadaver measurement data. There is no statistically significant difference between the CT 3D measurement data and arthroscopic measurement data. Conclusion: Three-dimensional CT reconstruction plays a significant role in the early diagnosis of anterior cruciate ligament injury of the knee joint. CT three-dimensional reconstruction can be used as an anatomical method in the study of normal human anatomy. CT three-dimensional reconstruction of the anterior cruciate ligament of the knee joint plays an important role in guiding anterior cruciate ligament reconstruction under knee arthroscopy.

Keywords: 3D; COMPUTED TOMOGRAPHY (CT); DIAGNOSTIC EVALUATION; LIGAMENT STRAIN

Document Type: Research Article

Publication date: 01 January 2021

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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