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Proceedings Paper

A single scan skeletonization algorithm: application to medical imaging of trabecular bone
Author(s): Aurore Arlicot; Yves Amouriq; Pierre Evenou; Nicolas Normand; Jean-Pierre Guédon
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Paper Abstract

Shape description is an important step in image analysis. The skeleton is used as a simple, compact representation of a shape. A skeleton represents the line centered in the shape and must be homotopic and one point wide. Current skeletonization algorithms compute the skeleton over several image scans, using either thinning algorithms or distance transforms. The principle of thinning is to delete points as one goes along, preserving the topology of the shape. On the other hand, the maxima of the local distance transform identifies the skeleton and is an equivalent way to calculate the medial axis. However, with this method, the skeleton obtained is disconnected so it is required to connect all the points of the medial axis to produce the skeleton. In this study we introduce a translated distance transform and adapt an existing distance driven homotopic algorithm to perform skeletonization with a single scan and thus allow the processing of unbounded images. This method is applied, in our study, on micro scanner images of trabecular bones. We wish to characterize the bone micro architecture in order to quantify bone integrity.

Paper Details

Date Published: 12 March 2010
PDF: 11 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762317 (12 March 2010); doi: 10.1117/12.844250
Show Author Affiliations
Aurore Arlicot, Univ. de Nantes (France)
Yves Amouriq, Univ. de Nantes (France)
Pierre Evenou, Univ. de Nantes (France)
Nicolas Normand, Univ. de Nantes (France)
Monash Univ. (Australia)
Jean-Pierre Guédon, Univ. de Nantes (France)

Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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