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Proceedings Paper

Robust lumen segmentation of coronary arteries in 2D angiographic images
Author(s): Maria Polyanskaya; Chris Schwemmer; Andre Linarth; Guenter Lauritsch; Joachim Hornegger
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Paper Abstract

Diagnosis and treatment of coronary diseases depends on the data acquired during angiographic investigations. To provide better assistance for angiographic procedures, a segmentation of the lumen is required. A new algorithm for vessel centerline computation and lumen segmentation in 2D projection coronary angiograms is presented. Centerlines are extracted by a graph-based optimization technique, which searches for paths with minimal costs. The search starts from a source point, which is automatically set by the proposed algorithm. A new objective function for determining the costs of the graph edges is proposed. It consists of the response from the medialness filter and is regularized by the centerline potential function. In the medialness filter a vessel cross-section is represented by a 1D profile parameterized by center position and radius. The medialness filter at a point optimizes a gradient-based response over the profile radius. The proposed centerline potential function defines likeliness of each point of the image to be a centerline. Both the medialness filter and the centerline potential function are multi-scale. The entire lumen segmentation is achieved by the radii extracted during the medialness response computation. Application to clinical data shows that the presented algorithm segments coronary lumen with good accuracy and allows for subsequent assessment of the quantitative characteristics (i.e. diameter, curvature, etc.) of the vessels.

Paper Details

Date Published: 14 February 2012
PDF: 7 pages
Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83142N (14 February 2012); doi: 10.1117/12.911130
Show Author Affiliations
Maria Polyanskaya, Friedrich-Alexander-Univ. Erlangen-Nuremberg (Germany)
Chris Schwemmer, Friedrich-Alexander-Univ. Erlangen-Nuremberg (Germany)
Andre Linarth, Friedrich-Alexander-Univ. Erlangen-Nuremberg (Germany)
Guenter Lauritsch, Siemens AG (Germany)
Joachim Hornegger, Friedrich-Alexander-Univ. Erlangen-Nuremberg (Germany)

Published in SPIE Proceedings Vol. 8314:
Medical Imaging 2012: Image Processing
David R. Haynor; Sébastien Ourselin, Editor(s)

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