Publication Type:

Conference Paper

Source:

Proceedings - 2012 International Conference on Advances in Computing and Communications, ICACC 2012, Cochin, p.110-113 (2012)

ISBN:

9780769547237

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84867966831&partnerID=40&md5=b6f91a5026a081ae0c1edfb3797a41ff

Keywords:

Automatic measurements, cobb angle, Diagnosis, Inherent errors, Measurements, Medical conditions, scoliosis, Segmentation algorithms, Two parameter, X ray analysis, X-ray image

Abstract:

Scoliosis is a medical condition in which a person's spine is curved from side to side. Current methodology of diagnosis of scoliosis: The doctors analyze an X-ray image and determine the cobb angle and vertebral twist. These two parameters are critical in the treatment of scoliosis. Bottlenecks associated with current methodology are inherent errors associated with manual measurement of cobb angle and vertebral twist from X-rays by the concerned doctors and the treatment that is meted out to a particular case of 'cobb angle' and vertebral twist by different doctors may differ with varying results. Hence it becomes imperative to select the best treatment procedure for attaining the best results. Highlights of the new methodology proposed: An X-ray image is accepted as input, Cobb angle is measured by the computer which is programmed to do so, thus eliminating the errors associated with the doctors interpretation. © 2012 IEEE.

Notes:

cited By (since 1996)1; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@53be5b1f ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@76507b2c Through org.apache.xalan.xsltc.dom.DOMAdapter@1dc6c263; Conference Code:93547

Cite this Research Publication

Ba Samuvel, Thomas, Va, Mini, M. Ga, and Kumar, JbRenjith, “A mask based segmentation algorithm for automatic measurement of Cobb angle from scoliosis x-ray image”, in Proceedings - 2012 International Conference on Advances in Computing and Communications, ICACC 2012, Cochin, 2012, pp. 110-113.

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