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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Assessment of Bone Mineral Health of Humans Based on X-Ray Images Using Inference
verfasst von : Geetha Ganapathi, N. Venkatesh Kumar
Erschienen in: Digital Connectivity – Social Impact
Verlag: Springer Nature Singapore
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Abstract
Bones that provide the structural support of the body, are composed of many inorganic compounds and organic materials that all together can be used to determine the mineral density of the bone. The bone mineral density (BMD) is an index measure that is widely used as an indicator of the health of the bone. A densitometry study from dual X-ray absorptiometry (DEXA) system is a popularly used method to assess BMD. BMD values vary depending on race, age, gender and other health conditions. As DEXA is quite an expensive method and requires frequent calibration process to work properly, in this paper, we explore the possibility of developing an affordable and reliable system depending on single X-ray absorptiometry with the use of supervised learning methods. The methodology based on inference is tested on a data set consisting of spine and pelvis X-ray images of patients of varying ages between 10 and 90 years of PSG Hospitals, Coimbatore, India and the results proved to be an indicator of density of the bone.