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Proceedings Article

3D bone mineral density distribution and shape reconstruction of the proximal femur from a single simulated DXA image: an in vitro study

[+] Author Affiliations
Tristan Whitmarsh, Ludovic Humbert

Univ. Pompeu Fabra (Spain) and Networking Research Ctr. on Bioengineering (Spain)

Mathieu De Craene

Networking Research Ctr. on Bioengineering (Spain) and Univ. Pompeu Fabra (Spain)

Luis M. del Río Barquero

CETIR Ctr. Mèdic (Spain)

Karl Fritscher, Rainer Schubert

Institute for Biomedical Image Analysis, UMIT (Austria)

Felix Eckstein

Paracelsus Medical Univ. (Austria)

Thomas Link

Univ. of California, San Francisco (USA)

Alejandro F. Frangi

Univ. Pompeu Fabra (Spain) and Networking Research Ctr. on Bioengineering (Spain) and Institució Catalana de Recerca i Estudis Avançats (Spain)

Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76234U (March 12, 2010); doi:10.1117/12.844110
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From Conference Volume 7623

  • Medical Imaging 2010: Image Processing
  • Benoit M. Dawant; David R. Haynor
  • San Diego, California, USA | February 13, 2010

abstract

Area Bone Mineral Density (aBMD) measured by Dual-energy X-ray Absorptiometry (DXA) is an established criterion in the evaluation of hip fracture risk. The evaluation from these planar images, however, is limited to 2D while it has been shown that proper 3D assessment of both the shape and the Bone Mineral Density (BMD) distribution improves the fracture risk estimation. In this work we present a method to reconstruct both the 3D bone shape and 3D BMD distribution of the proximal femur from a single DXA image. A statistical model of shape and a separate statistical model of the BMD distribution were automatically constructed from a set of Quantitative Computed Tomography (QCT) scans. The reconstruction method incorporates a fully automatic intensity based 3D-2D registration process, maximizing the similarity between the DXA and a digitally reconstructed radiograph of the combined model. For the construction of the models, an in vitro dataset of QCT scans of 60 anatomical specimens was used. To evaluate the reconstruction accuracy, experiments were performed on simulated DXA images from the QCT scans of 30 anatomical specimens. Comparisons between the reconstructions and the same subject QCT scans showed a mean shape accuracy of 1.2mm, and a mean density error of 81mg/cm3. The results show that this method is capable of accurately reconstructing both the 3D shape and 3D BMD distribution of the proximal femur from DXA images used in clinical routine, potentially improving the diagnosis of osteoporosis and fracture risk assessments at a low radiation dose and low cost.

© (2010) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Tristan Whitmarsh ; Ludovic Humbert ; Mathieu De Craene ; Luis M. del Río Barquero ; Karl Fritscher, et al.
"3D bone mineral density distribution and shape reconstruction of the proximal femur from a single simulated DXA image: an in vitro study", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76234U (March 12, 2010); doi:10.1117/12.844110; http://dx.doi.org/10.1117/12.844110


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