Analysing the Detection of Rheumatoid Arthritis using Image Processing Techniques
DOI:
https://doi.org/10.26438/ijcse/v6i5.593596Keywords:
Erosion, Dilation, Magnetic resonance imaging, Perimeter, arthritis, SkeletonizationAbstract
A huge volume of research have been made in the medical field for finding out inflammatory disorder which is rheumatoid arthritis which is one form of arthritis which affects joints. Identifying the onset of the disease should be done as early as possible to start the proper treatment, to prevent maximum deformity and for better quality of living. Radiography helps in detecting rheumatoid arthritis but there is reduced accuracy and is slower in detecting as it starts detecting after deformity(irreversible process) of joints have started. Magnetic resonance imaging may be more precise and accurate in identifying deformities. In Magnetic resonance imaging, images are analyzed through different image processing techniques. This paper is primarily aimed at stating the advantages of Magnetic resonance imaging over other techniques and after Magnetic resonance imaging scan has been done, making use of image processing techniques to obtain the final image for detection of the disorder.
References
Bhavyashree K G, Sheela Rao, “Determination And Analysis Of Arthritis Using Digital Image Processing Techniques” International Journal of Electrical, Electronics and Data Communication, ISSN: 2320-2084, Vol. 2, Issue 9, Sept 2014.
Arpita Mittal, Sanjay Kumar Dubey, “Analysis of Rheumatoid Arthritis through Image Processing”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 2, November 2012.
Kelvin Ka-fai Leung, “Longitudinal analysis of MRI images in rheumatoid arthritis”, IJCSI, November 16, 2007.
SD. Kasute, M. Kolheka, “ROI Based Medical Image Compression”, IJSRNSC, Vol. 5, Issue 1, April 2017.
Gilkeson G, Polisson R, Sinclair H, “Early detection of carpal erosions in patients with rheumatoid arthritis: a pilot study of magnetic resonance imaging”, J Rheumatol 1988; pp. 1361-1366.
Laxman Singh, R.B.Dubey, Z.A.Jaffery , Zaheeruddin, “Segmentation and characterization of brain tumor from MR images”, IEEE International Conference on Advances in Recent Technologies in Communication and Computing, 2009.
Paul Emery, “Magnetic Resonance Imaging: Opportunities For Rheumatoid Arthritis Disease Assessment And Monitoring Long-Term Treatment Outcomes”, Arthritis Research & Therapy, Vol. 4, 2002.
Namrata Ghuse, Yogita Deore, Amol Potgantwar, “Efficient Image Processing Based Liver Cancer Detection Method”, IJSRNSC, Vol. 5, Issue 3, June 2017
Arpita Mittal , Sanjay Kumar Dubey, “A Literature Review on Analysis of MRI Images of Rheumatoid Arthritis through Morphological Image Processing Techniques”, IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 2, No 3, March 2013.
J.Vijay, J.Subhashini, “An Efficient Brain Tumor Detection Methodology Using K-Means Clustering Algorithm,” IEEE International conference on Communication and Signal Processing, pp. 653-657, April 3-5, 2013.
Lau E, Symmons D, Bankhead C, MacGregor A, Donnan S, Silman A., “Low prevalence of rheumatoid arthritis in the urbanized Chinese of Hong Kong”, J Rheumatol 1993; pp. 1133-1137.
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