Conference proceeding
Predicting mechanical competence of trabecular bone using 3D tensor-scale-based parameters
Proceedings of SPIE, Vol.5746(1), pp.279-290
Medical Imaging 2005: Physiology, Function, and Structure from Medical Images
04/14/2005
DOI: 10.1117/12.596161
Abstract
Trabecular bone (TB) consists of a network of interconnected struts and plates occurring near the joints of long bones and in the axial skeleton. In response to mechanical stresses it remodels such that trabeculae are aligned with the major stress lines, thus leading to a highly anisotropic network. Beside bone volume fraction, anisotropy and topological indices are known to be strong predictor of the TB mechanical competence. In osteoporosis, the most common bone disorder, the remodeling balance is perturbed due to increased resorption, resulting in net bone loss accompanied by architectural deterioration, leading to fragile bone and increased fracture risk. In vertebral osteoporosis, preferential loss of transverse trabeculae leads to increased anisotropy and change in topology, hence exact measurements of these parameters are of paramount interest. Current
imaging yields voxel size comparable to TB thickness, thus resulting in inherently fuzzy representations. The commonly used methods for anisotropy require binarization which is difficult to achieve in the limited spatial resolution regime where the intensity histogram is mono-modal. Here, we present a new tensor scale (t-scale) based TB architectural measures that (1) obviates binarization, and (2) yields localized measures. We evaluate the performance of this method on micro-CT images of vertebral bone and test the hypothesis that the method, along with BMD and other structural parameters, allows prediction of TB"s mechanical competence. Toward this goal, we estimate Young"s modulus (YM) of (13mm)
vertebral TB samples under uniaxial loading and examine linear correlation of different t-scale parameters computed via micro-CT imaging .
Details
- Title: Subtitle
- Predicting mechanical competence of trabecular bone using 3D tensor-scale-based parameters
- Creators
- Punam K Saha - Univ. of Pennsylvania (USA)Michael J Wald - Univ. of Pennsylvania (USA)Alex Radin - Univ. of Pennsylvania (USA)Felix W Wehrli - Univ. of Pennsylvania (USA)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.5746(1), pp.279-290
- Conference
- Medical Imaging 2005: Physiology, Function, and Structure from Medical Images
- DOI
- 10.1117/12.596161
- ISSN
- 0277-786X
- Language
- English
- Date published
- 04/14/2005
- Academic Unit
- Electrical and Computer Engineering; Radiology
- Record Identifier
- 9984051890202771
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