Conference proceeding
Robust segmentation of trabecular bone for in vivo CT imaging using anisotropic diffusion and multi-scale morphological reconstruction
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.10137, pp.101371T-101371T-9
03/13/2017
DOI: 10.1117/12.2254546
Abstract
Osteoporosis is associated with an increased risk of low-trauma fractures. Segmentation of trabecular bone (TB) is essential to assess TB microstructure, which is a key determinant of bone strength and fracture risk. Here, we present a new method for TB segmentation for in vivo CT imaging. The method uses Hessian matrix-guided anisotropic diffusion to improve local separability of trabecular structures, followed by a new multi-scale morphological reconstruction algorithm for TB segmentation. High sensitivity (0.93), specificity (0.93), and accuracy (0.92) were observed for the new method based on regional manual thresholding on in vivo CT images. Mechanical tests have shown that TB segmentation using the new method improved the ability of derived TB spacing measure for predicting actual bone strength (R2=0.83).
Details
- Title: Subtitle
- Robust segmentation of trabecular bone for in vivo CT imaging using anisotropic diffusion and multi-scale morphological reconstruction
- Creators
- Cheng Chen - University of IowaDakai Jin - University of IowaXiaoliu Zhang - University of IowaSteven M Levy - University of IowaPunam K Saha - University of Iowa
- Contributors
- Andrzej Krol (Editor) - SUNY Upstate Medical UniversityBarjor Gimi (Editor) - Geisel School of Medicine at Dartmouth (United States)
- Resource Type
- Conference proceeding
- Publication Details
- Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.10137, pp.101371T-101371T-9
- Publisher
- SPIE
- DOI
- 10.1117/12.2254546
- ISSN
- 1605-7422
- Language
- English
- Date published
- 03/13/2017
- Academic Unit
- Preventive and Community Dentistry; Electrical and Computer Engineering; Radiology; Epidemiology
- Record Identifier
- 9984197235802771
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