Detection of Osteoarthritis by using Multiple Edge Detections
J. Deny, B. Perumal, P. Nagaraj, K. Alekhya, V. Maneesha, S. Amarnath Reddy
Abstract
Nowadays, Arthritis is a common disease among older people that influences the joints. It creates ache and inflammation, making it tough to walk, run or live active. Estimating the quantity or thickness of cartilage on the knee is critical for figuring out arthritis. In this study, MRI scans of the knee had been analyzed. Before segmentation, the picture is preprocessed with B-Splines creation. After that, canny and log facet detectors are used to obtain the boundaries or sharp edges or high variations in the grey values in the image. The proposed method extracts the cartilage thickness which plays a key role in determining the Osteoarthritis. The variety of pixels among edges is used to calculate the thickness. The abnormality of arthritis is then decided primarily based relating to the thickness of cartilage. The Joint Space Width (JSW) acquired is contrasted with standard joint space width esteem, 5.7mm for male and 4.8 mm for female. From this, the osteoarthritic knee can be distinguished from typical knee. This is a brief and smooth method to assess arthritis by relying on the thickness (viscosity) of the cartilage.