Analysis of MRI Image-Assisted Diagnosis of Osteoarthritis Based on Support Vector Machine Algorithm

Abstract

Objective: To discuss the diagnostic value of X-ray film and MRI of knee osteoarthritis by using support vector machine algorithm. Materials and Methods: The data of patients with osteoarthritis of the knee joint confirmed by open or arthroscopy surgery were collected in this paper. A total of 23 knee joints were performed in 23 cases, and plain films and MRI were performed before surgery. The support vector machine algorithm was used to retrospectively analyze its image performance and compare the positive rates of the two inspection methods. Results: The plain bone film showed better bone changes, and it could not show soft tissue lesions. MRI showed less changes in bone quality than plain films, and showed better changes in cartilage, meniscus degeneration, joint effusion, intra-articular free body, synovial thickening, bone marrow edema, and soft tissue swelling. Conclusion: MRI provides more positive signs than plain film, and the diagnosis accuracy of knee osteoarthritis is higher than plain film.