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

  • Unique Paper ID: 153117
  • Volume: 8
  • Issue: 5
  • PageNo: 571-576
  • 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.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 5
  • PageNo: 571-576

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

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