Determination and Analysis of Arthritis Using Digital Image Processing Techniques

Arthritis is a common disorder that affects your joints. It can cause pain and inflammation, making it difficult to move or stay active. This may sometimes lead to disability and chronic ill-health. In this study, MRI scans of the knee were analyzed. 

Estimating the volume or thickness of cartilage at the knee is crucial for determining arthritis. Before segmentation, the image is preprocessed with B-Splines creation. After that, canny and log edge detectors are used to fine-tune the edges. Finally, in order to determine cartilage thickness, the distance between the edges is computed. 

The number of pixels between edges is used to calculate the thickness. The abnormality of arthritis is then determined based on the thickness value. This is a quick and easy approach to evaluate if you have arthritis depending on the thickness of your cartilage.

Keywords: Arthritis, B-Spline, Anisotropic diffusion, Articular-cartilage.