BMD Calculation for Osteoporosis detection from DXA Scan Images Using K-Means Clustering Bone Segmentation

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

BMD Calculation for Osteoporosis detection from DXA Scan Images Using K-Means Clustering Bone Segmentation
Author(s):
Dr. Shubhangi D.C, B. Ayesha
Keywords:
BMD(Bone Mineral Density), DXA, T-Score, X-ray
Abstract
A common systemic skeletal disorder called Osteoporosis leads to decrease bone strength and increase vulnerability to osteofragility fracture. A measure termed Bone Mineral Density is used to detect the disease (BMD). Several image processing and machine learning algorithms are used to estimate BMD in both X-ray and DXA pictures. This methodology comprises segmentation algorithms like k-means clustering and mean-shift algorithms, as well as a comparison of algorithm accuracy. In addition, a futuristic mathematical approach is presented to accurately detect the osteoporosis state by measuring the values of T–score in DXA pictures with a new metric ‘S' derived from Bone Mineral Density(BMD) data.
Article Details
Unique Paper ID: 153117 Publication Volume & Issue: Volume 8, Issue 5 Page(s): 571 - 576
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