Abstract
Objective: To improve the efficiency and accuracy of the diagnosis and treatment of sports knee ligament strain, the application value of computerized tomography (CT) three-dimensional (3D) imaging technology in the diagnosis and treatment of sports knee ligament strain is studied. Methods: This study proposes a method for CT 3D image reconstruction based on the model clustering algorithm. First, the knee joint CT images of research objects are preprocessed. Second, based on the preprocessing, the healthy adult male knee ligament distribution structure map is used as a reference model. The model clustering segmentation algorithm proposed in this study is used for detailed segmentation, and the results are input into Materialise’s interactive medical control system (Mimics) software. According to the process, the 3D CT reconstructed images are derived. Finally, the 3D reconstruction results of knee ligament CT are optimized by using Geomagic Studio 2012 software. The application of 3D CT images and magnetic resonance imaging (MRI) images obtained by the algorithm in this study in the diagnosis and treatment of knee ligament strains are compared. Results: The CT 3D image reconstruction method based on the model clustering algorithm proposed in this study can clearly show the ligament structure of the knee joint. The optimized CT 3D image has a smoother surface and a clearer display, which is more conducive for observing the knee joint ligament structure more clearly. The comparative experiments have found that the diagnostic accuracy of 3D CT images is 95%, and the diagnostic accuracy of MRI images is 85%. The diagnostic accuracy of the 3D reconstructed images proposed in this study is significantly higher than that of MRI images, and the difference is statistically significant (P < 0.05). Conclusion: The proposed algorithm has an excellent effect on the 3D reconstruction of CT images. Also, it has high efficiency and accuracy in the diagnosis and treatment of sports knee ligament strains.
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