A Review of Determination and analysis of arthritis using digital image processing

Abstract— A frequent illness that affects your joints is arthritis. It may result in pain and inflammation, making it challenging to move or continue being active. This may occasionally result in chronic illness and disability. MRI scans of the knee were examined in this investigation. The volume or thickness of the knee cartilage must be estimated in order to diagnose arthritis. The image is preprocessed by creating B-Splines before segmentation. After that, the edges are refined using canny and log edge detectors. Finally, the distance between the edges is calculated to measure cartilage thickness. The thickness is determined by counting the pixels between edges. The thickness value is then used to determine the abnormalities of the arthritis. This is quick and easy approach to evaluate if you have arthritis depending on the thickness of your cartilage. Index Terms: Arthritis B-Spline, Anisotropic diffusion, Articular-cartilage