Improved Vessel Enhancement for Fully Automatic Coronary Modeling
نویسندگان
چکیده
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.
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