Share Email Print
cover

Proceedings Paper

Robust segmentation of trabecular bone for in vivo CT imaging using anisotropic diffusion and multi-scale morphological reconstruction
Author(s): Cheng Chen; Dakai Jin; Xiaoliu Zhang; Steven M. Levy; Punam K. Saha
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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).

Paper Details

Date Published: 13 March 2017
PDF: 9 pages
Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101371T (13 March 2017); doi: 10.1117/12.2254546
Show Author Affiliations
Cheng Chen, The Univ. of Iowa (United States)
Dakai Jin, The Univ. of Iowa (United States)
Xiaoliu Zhang, The Univ. of Iowa (United States)
Steven M. Levy, The Univ. of Iowa (United States)
Punam K. Saha, The Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 10137:
Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
Andrzej Krol; Barjor Gimi, Editor(s)

© SPIE. Terms of Use
Back to Top