Analysis of Osteoarthritis in Knee X-Ray Image

Shashikala R , Divya.M.Shetty , Anupa , Deepikaraj Ballal , Rakshitha

Osteoarthritis, X-ray images, Active contour segmentation, Feature Extraction, Classification

Osteoarthritis (OA) is a common disease in human. Under various joints such as knee, hips, hand and wrist. It is the stage of human bone in which the joints of human body become damaged and stop moving freely which causes pain. Due to the increasing prevalence of knee Osteoarthritis and related effects on functional limitation, reduced health related quality of life, health care utilization and total joint arthroplasty, there is a growing need for clinical and scientific tools that can reliably detect knee OA early in its development. The scenario for the evaluation of Osteoarthritis includes clinical examination and various medical imaging techniques. We describe a method to detect Osteoarthritis from knee X-Ray images. The detection is based on the thickness of cartilage in knee bone, which corresponds to possibility of Osteoarthritis. Here we have used active contour segmentation technique to segment the part of the knee X-Ray image. The various features like Haralik, Statistical, First Four Moments, Texture and Shape Features are computed and classified. However, these are based on the presence or size of Osteophytes and the degree of joint space narrowing as assessed by human readers.

Published Paper   E-Certificate

"Analysis of Osteoarthritis in Knee X-Ray Image", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 6, page no.416 - 422, June-2017, Available :https://ijsdr.org/papers/IJSDR1706063.pdf

Volume 2 Issue 6, June-2017

Pages : 416 - 422

Paper Reg. ID: IJSDR_170535

Published Paper Id: IJSDR1706063

Downloads: 000347280

Research Area: Engineering

Country: Udupi, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1706063

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1706063

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition