Journal article
Topological analysis of trabecular bone MR images
IEEE transactions on medical imaging, Vol.19(3), pp.166-174
2000
DOI: 10.1109/42.845175
PMID: 10875701
Abstract
Recently, imaging techniques have become available which permit nondestructive analysis of the three-dimensional (3-D) architecture of trabecular bone (TB), which forms a network of interconnected plates and rods. Most osteoporotic fractures occur at locations rich in TB, which has spurred the search for architectural parameters as determinants of bone strength. Here, the authors present a new approach to quantitative characterization of the 3-D microarchitecture of TB, based on digital topology. The method classifies each voxel of the 3-D structure based on the connectivity information of neighboring voxels. Following conversion of the 3-D digital image to a skeletonized surface representation containing only one-dimensional (1-D) and two-dimensional (2-D) structures, each voxel is classified as a curve, surface, or junction. The method has been validated by means of synthesized images and has subsequently been applied to TB images from the human wrist. The topological parameters were found to predict Young's modulus (YM) for uniaxial loading, specifically, the surface-to-curve ratio was found to be the single strongest predictor of YM (r/sup 2/=0.69). Finally, the method has been applied to TB images from a group of patients showing very large variations in topological parameters that parallel much smaller changes in bone volume fraction (BVF).
Details
- Title: Subtitle
- Topological analysis of trabecular bone MR images
- Creators
- B. R GOMBERG - Department of Bioengineering, University of Pennsylvania, 3320 Smith Walk, Philadelphia, PA 19104, United StatesP. K SAHA - Medical Image Processing Group, Department of Radiology, University of Pennsylvania Health System, 423 Guardian Drive., Philadelphia, PA 19104, United StatesHee Kwon Song - Laboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania Health System, 3400 Spruce Street, Philadelphia, PA 19104, United StatesS. N HWANG - Laboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania Health System, 3400 Spruce Street, Philadelphia, PA 19104, United StatesF. W WEHRLI - Laboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania Health System, 3400 Spruce Street, Philadelphia, PA 19104, United States
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on medical imaging, Vol.19(3), pp.166-174
- DOI
- 10.1109/42.845175
- PMID
- 10875701
- NLM abbreviation
- IEEE Trans Med Imaging
- ISSN
- 0278-0062
- eISSN
- 1558-254X
- Publisher
- Institute of Electrical and Electronics Engineers; New York, NY
- Language
- English
- Date published
- 2000
- Academic Unit
- Radiology; Electrical and Computer Engineering
- Record Identifier
- 9984051976102771
Metrics
11 Record Views