Thursday 25th of April 2024
 

Analysis of Rheumatoid Arthritis through Image Processing


Arpita Mittal and Sanjay Kumar Dubey

Rheumatoid arthritis (RA) is the most common inflammatory arthropathy worldwide, but may be less prevalent in Asian populations causing pain, swelling, stiffness, and loss of function in joints. The spectrum of magnetic resonance imaging findings encountered in the musculoskeletal system in this disease but these images often found non-productive due to noise present in the image and creates troublesome situation for analysis point of view. The role of image processing in rheumatoid arthritis lies, not in diagnosis, but in evaluation of the integrity of structures affected by the disease process. Since Magnetic resonance imaging is more sensitive to synovial changes than any radiography tech, and may permit quantification of changes in disease activity, as well as evaluation of the effects of drug therapy, and of complications of the disease and its treatment. So analyzing the Magnetic resonance images through image processing tool of Matlab provides easy going approach for diagnosis of the disease.

Keywords: Arthritis, rheumatoid, synovial, MRI, Musculoskeletal system, Matlab, Image Processing

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ABOUT THE AUTHORS

Arpita Mittal
Ms.Arpita Mittal is pursuing Master Of Technology, at Amity University, Noida, U.P, India.Her area Of Interest is in Image Processing, Software engineering and Bio- Medical Imaging

Sanjay Kumar Dubey
Mr. Sanjay Kumar Dubey is working as Assistant Professor in Department of Computer Science and Engineering in Amity University Noida, UP, INDIA. His Research area includes Software Engineering and Usability Engineering. He is pursuing his Ph.D in Computer Science and Engineering from Amity University.


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