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Application of CT Image Based on Three-Dimensional Image Segmentation Algorithm in Diagnosis of Osteoarthritis

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Objective: To investigate the application of multi-slice spiral CT in degenerative changes of lumbar facet joints using the LOG algorithm. Methods: The CT findings of 100 cases of degenerative vertebral facet joint disease were reviewed and analyzed in this paper. Results: The main CT manifestations of facet disease are osteophyte formation, articular hyperplasia and hypertrophy, osteosclerosis, narrowing of joint space, articular surface destruction, joint capsule calcification, joint gas accumulation, joint subluxation, and lateral recesses and vertebrae. Signs such as narrow mesopores. Conclusion: The multi-slice spiral CT (MSCT) and multi-planar reconstruction (MPR) techniques are analyzed by the LOG operator algorithm. It is found that the two techniques can fully display the anatomical structure and pathological changes of the vertebral facet joints, and are useful for the diagnosis of facet joint disease. Provide enough imaging evidence.

Keywords: 3D IMAGE; CT IMAGE; OSTEOARTHRITIS DIAGNOSIS; SEGMENTATION ALGORITHM

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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