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Proceedings Paper

Change in trabecular architecture as measured by fractal dimension
Author(s): Joel L. Berry; Richard L. Webber; Chris Jerome; Thomas L. Pope; Mark Zimmerman; Jeffrey D. Towers
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Paper Abstract

Detection of subtle structural changes in trabecular bone is important in evaluating the load- bearing capability of whole bones. Microstructural changes in trabecular bone due to remodeling or resorption lead to changes in bone strength. Recently, fractal-based analyses of radiographs have demonstrated that a fractal model can describe trabecular bone patterns independent of mass density. In this case, the descriptor of choice is a scale-invariant measure of trabecular detail known as fractal dimension. The objective of this work was to compare two measures of the distribution of trabecular bone -- fractal dimension and mean gray level -- in a decalcifying environment. The fractal-based analysis relied upon the spatial distribution of trabecular material while the mean gray level measurements depended upon the average x- radiation attenuation over a region of interest. Data were produced from four separate slices of vertebral bone which demonstrated that a change in the spatial distribution of trabecular material may be expressed in terms of a concurrently changing estimate of the fractal dimension within a region of interest. This change was not necessarily reflected in the mean gray level estimate of mass density.

Paper Details

Date Published: 1 May 1994
PDF: 8 pages
Proc. SPIE 2168, Medical Imaging 1994: Physiology and Function from Multidimensional Images, (1 May 1994); doi: 10.1117/12.174418
Show Author Affiliations
Joel L. Berry, Wake Forest Univ. (United States)
Richard L. Webber, Wake Forest Univ. (United States)
Chris Jerome, Wake Forest Univ. (United States)
Thomas L. Pope, Wake Forest Univ. (United States)
Mark Zimmerman, Wake Forest Univ. (United States)
Jeffrey D. Towers, Montefiore Univ. Hospital (United States)


Published in SPIE Proceedings Vol. 2168:
Medical Imaging 1994: Physiology and Function from Multidimensional Images
Eric A. Hoffman; Raj S. Acharya, Editor(s)

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