A Review on Investigation and Catagorization of Rheumatoid Arthritis and Osteoarthritis Using Image Processing Techniques.

Abstract

Arthritis is one of joint disorders that have affected many lives. Osteoarthritis and Rheumatoid arthritis are the most common types among the other arthritis. The earlier symptoms of arthritis are considered as pain, stiffness, inflammation, and at the later stage it could even cause severe immobility. Arthritis cannot be cured at any stage, but it could be controlled by proper diagnosis. The present approach for the evaluation of osteoarthritis and rheumatoid arthritis includes clinical diagnosis and medical imaging techniques. This review paper focused on the different medical imaging techniques for the assessment of arthritis. They are X-ray imaging, thermal imaging, ultrasound imaging, and Magnetic Resonance imaging for detection and classification of osteoarthritis and rheumatoid arthritis in a very illustrative and relative manner. Thus, an elaborated discussion on various image processing techniques such as segmentation, feature extraction, classification and machine learning techniques such as Artificial neural network, convolutional neural network is done and surveyed in a detailed manner.