Volumetric segmentation of trabecular bone into rods and plates: a new method based on local shape classification

Emmanuel Brun; Jerome Vicente

doi:10.1117/12.843804

12 March 2010 Volumetric segmentation of trabecular bone into rods and plates: a new method based on local shape classification

Emmanuel Brun, Jerome Vicente

Author Affiliations +

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 76234O (2010) https://doi.org/10.1117/12.843804
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

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.

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Emmanuel Brun and Jerome Vicente "Volumetric segmentation of trabecular bone into rods and plates: a new method based on local shape classification", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76234O (12 March 2010); https://doi.org/10.1117/12.843804

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