
Proceedings Paper
Volumetric segmentation of trabecular bone into rods and plates: a new method based on local shape classificationFormat | Member Price | Non-Member Price |
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Paper Abstract
Bone micro architecture is believed to play a key role in determining bone quality. We propose a new method
of segmentation based on local shape classification. Bones samples are thus described into their basic elements
(rods and plates). On each bone voxel we calculate the inertia moment of a neighborhood obtained by local
geodesic dilation in the bone volume. The dilated volume is obtained through a homothopic dilation using the
Fast Marching algorithms. The size of the dilated volume is choosen from local aperture diameter in order to
be scale independent. The bone cross-section is calculated using an optimized granulometry algorithm. The
segmentation has been carried on a wide range of human trabecular bone with varied structure. Voxels are then
classified according the ratio between the inertia moments of the dilated volumes.
Paper Details
Date Published: 12 March 2010
PDF: 8 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76234O (12 March 2010); doi: 10.1117/12.843804
Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)
PDF: 8 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76234O (12 March 2010); doi: 10.1117/12.843804
Show Author Affiliations
Emmanuel Brun, Univ. of California Santa Barbara (United States)
Jerome Vicente, Lab. IUSTI, Univ. de Provence (France)
Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)
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