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Proceedings Paper

Application of the standard Hough transform to high-resolution MRI of human trabecular bone to predict mechanical strength
Author(s): Holger F. Bohm; Christoph Rath; Roberto A. Monetti; Dirk Muller; David Newitt; Sharmila Majumdar; Ernst J. Rummeny; Thomas M. Link
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Paper Abstract

In this study we introduce two non-linear structural measures based on the Standard Hough-Transform (SHT) that are applied to high resolution MR-images of human trabecular bone specimens in order to predict biomechanical properties. The results are compared to bone mineral density (BMD) and linear morphometric parameters. Axial MR-images (voxel-size: 117x156x300 mm3) of 33 human femoral and 10 spinal specimens are obtained using a 3D-gradient-echo-sequence. After measurement of BMD by quantitative computed tomography (QCT) all specimens are tested destructively for maximum compressive strength (MCS). The SHT is applied to the binarized and Sobel-filtered images and the peak-value (maxH) and its corresponding bin (posH) of the normalized Hough-spectrum are determined as well as linear measures (apparent bone fraction (app.BV/TV), apparent trabecular separation (app.Tb.Sp), apparent trabecular perimeter per unit area (app.Tb.Perim)). For the spinal [femoral] specimens, R2 for MCS vs. maxH is 0.72 (p=0.004) [0.49 (p<0.001)], R2 for MCS vs. posH is 0.56 (p=0.013) [0.55 (p<0.001)], and R2 for MCS vs. BMD is 0.43 (p=0.041) [0.72 (p<0.001)]. Correlations of the conventional, linear morphometric parameters and MCS are lower than those for the SHT-based measures or BMD, ranging from 0.20 (p=0.003) for app.BV/TV to 0.46 (p<0.001) for app.Tb.Sp. Prediction of MCS by maxH, posH, or BMD alone is improved by combination with the linear morphometric parameters in a linear regressional model (R2 =0.79). In conclusion, the biomechanical strength of human trabecular bone in vitro can effectively be predicted from High-Resolution MR-images by structural measures based on SHT. In the vertebral specimens these are superior to BMD or conventional structural measures in predicting bone strength.

Paper Details

Date Published: 15 May 2003
PDF: 11 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.481137
Show Author Affiliations
Holger F. Bohm, Technische Univ. Muchen (Germany)
Max-Planck-Institut für extraterrestrische Physik (Germany)
Christoph Rath, Technische Univ. Munchen (Germany)
Roberto A. Monetti, Technische Univ. Munchen (Germany)
Dirk Muller, Technische Univ. Munchen (Germany)
Max-Planck-Institut für extraterrestrische Physik (Germany)
David Newitt, Univ. of California/San Francisco (United States)
Sharmila Majumdar, Univ. of California/San Francisco (United States)
Ernst J. Rummeny, Technische Univ. Munchen (Germany)
Thomas M. Link, Technische Univ. Munchen (Germany)


Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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