• DocumentCode
    2573215
  • Title

    Femoral strength prediction using a 3D reconstruction method from Dual-energy X-ray Absorptiometry

  • Author

    Humbert, L. ; Whitmarsh, T. ; Fritscher, Karl ; Del Rio Barquero, L.M. ; Eckstein, F. ; Link, T. ; Schubert, Ryan ; Frangi, Alejandro F.

  • Author_Institution
    Bioeng., Biomater. & Nanomedicine, Networking Biomed. Res. Center, Barcelona, Spain
  • fYear
    2012
  • fDate
    2-5 May 2012
  • Firstpage
    1451
  • Lastpage
    1454
  • Abstract
    Femoral strength is estimated in clinical routine from 2D Dual-energy X-rays Absorptiometry (DXA). In this study, a new pipeline for femoral strength prediction from DXA images is presented, using a 3D reconstruction method of the shape and the Bone Mineral Density (BMD) distribution and a regression analysis based on partial least squares. A database of 90 proximal femoral cadaveric specimens, that were previously imaged and tested to measure their fracture load, was used to develop and to validate the method. The proposed pipeline resulted in a correlation coefficient of 0.85 between predicted and measured fracture load, while a regression using 2D BMD measurements from DXA resulted in a correlation coefficient of 0.77. With an improved femoral strength prediction from DXA images, this method opens interesting translational perspectives in clinics for a better diagnosis of osteoporosis and fracture risk prediction.
  • Keywords
    X-ray absorption; biomechanics; bone; correlation methods; fracture; image reconstruction; least squares approximations; medical image processing; regression analysis; 3D reconstruction method; BMD distribution; DXA technique; bone mineral density; correlation coefficient; dual energy X-ray absorptiometry; femoral strength prediction; fracture load; fracture risk prediction; osteoporosis; partial least squares; regression analysis; Bones; Minerals; Pipelines; Shape; Solid modeling; Three dimensional displays; Vectors; 3D Reconstruction; Femoral strength; Osteoporosis; Partial Least Square Regression; Statistical Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4577-1857-1
  • Type

    conf

  • DOI
    10.1109/ISBI.2012.6235844
  • Filename
    6235844