3D reconstruction of both shape and bone mineral density distribution of the femur from DXA images

Authors:
Ludovic Humbert;Tristan Whitmarsh;Mathieu De Craene;Luis Miguel del Río Barquero;Karl Fritscher;Rainer Schubert;Felix Eckstein;Thomas Link;Alejandro F. Frangi
Affiliations:
Center for Computational Imaging and Simulation Techn. in Biomedicine, Univ. Pompeu Fabra, Barcelona, Spain and Networking Biomedical Research Center - Bioeng., Biomaterials and Nanomedicine, Barc ...;Center for Computational Imaging and Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain and Networking Biomedical Research Center - Bioengineering, Biomaterials and ...;Networking Biomedical Research Center - Bioengineering, Biomaterials and Nanomedicine, Barcelona, Spain and Center for Computational Imaging and Simulation Technologies in Biomedicine, Universitat ...;CETIR Centre Mèdic, Barcelona, Spain;Institute for Biomedical Image Analysis, UMIT, Hall in Tirol, Austria;Institute for Biomedical Image Analysis, UMIT, Hall in Tirol, Austria;Institute of Anatomy & Musculoskeletal Research, PMU, Salzburg, Austria;Musculoskeletal and Quantitative Imaging Research Group., UCSF, California;Center for Comp. Imaging and Simulation Techn. in Biomed., Univ. Pompeu Fabra, Spain and Networking Biomedical Res. Center - Bioeng., Biomaterials and Nanomed., Barcelona, Spain and Inst. Catalana ...
Venue:
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Year:
2010

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Abstract

The diagnosis of osteoporosis and the prevention of femur fractures is a major challenge for our society. However, the diagnosis performed in clinical routine from Dual Energy X-ray Absorptiometry (DXA) images is limited. This paper proposes a 3D reconstruction method of both the shape and the Bone Mineral Density (BMD) distribution of the proximal femur from routinely used DXA images. The reconstruction accuracy that can be obtained from single-view and multi-view DXA devices was assessed. This evaluation, from 20 bone specimens and simulated DXA images, highlighted a mean shape accuracy of 1.3mm and a BMD accuracy of 4.4% from a single-view DXA image. A multi-view configuration with 2 views (frontal-sagittal) appeared as a good compromise (mean shape accuracy of 0.9mm and BMD accuracy of 3.2%). We are currently using this method for in vivo clinical studies in order to improve the diagnosis of osteoporosis and the prevention of femur fractures.