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Proceedings Paper

Improved vessel enhancement for fully automatic coronary modeling
Author(s): Vincent Auvray; Uwe Jandt; Raoul Florent; Dirk Schäfer
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Paper Abstract

3D coronary modeling extracts the centerlines and width of the coronary arteries from a rotational sequence of angiographies. This process heavily relies on a preliminary filtering of the 2D angiograms that enhances the vessels. We propose an improved vessel enhancement method specifically designed for this application. It keeps the advantages of Hessian-based extraction methods (speed, robustness, multiscale) while bypassing its more important limitations: the blurring of bifurcations, and the incomplete filling of very large vessels. The major contributions of this paper are twofold. First, the classical centered kernel used in Hessian-based methods is substituted with an elongated off-centered kernel. The new filter detects the different orientations involved at a bifurcation: it can answer properly to 'half vessels' beginning at the considered pixel (as opposed to the centered classical filter). The proposed "semi-oriented ridge" filter is also more robust to noise, and it stays multi-scale and quickly computable. Second, an original bifurcation detection and enhancement method is presented, based on the following heuristics: "bifurcations have three vessels (at least) in their immediate neighborhood". More precisely, the semi-oriented ridges answers in each tested orientation θ∈]-π,π] are stored in a circular histogram. The proposed bifurcation energy is the height of the third peak in this histogram: it will have a significant value at bifurcations only. The performance of the complete framework is demonstrated both on the produced vessel maps and on the final modeling results.

Paper Details

Date Published: 27 March 2009
PDF: 8 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72592B (27 March 2009); doi: 10.1117/12.810144
Show Author Affiliations
Vincent Auvray, Philips Healthcare (France)
Uwe Jandt, Philips Research Europe (Germany)
Raoul Florent, Philips Healthcare (France)
Dirk Schäfer, Philips Research Europe (Germany)

Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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