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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Automatic Artery-Vein Separation from Thoracic CT Images Using Integer Programming
verfasst von : Christian Payer, Michael Pienn, Zoltán Bálint, Andrea Olschewski, Horst Olschewski, Martin Urschler
Erschienen in: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
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Automated computer-aided analysis of lung vessels has shown to yield promising results for non-invasive diagnosis of lung diseases. In order to detect vascular changes affecting arteries and veins differently, an algorithm capable of identifying these two compartments is needed. We propose a fully automatic algorithm that separates arteries and veins in thoracic computed tomography (CT) images based on two integer programs. The first extracts multiple subtrees inside a graph of vessel paths. The second labels each tree as either artery or vein by maximizing both, the contact surface in their Voronoi diagram, and a measure based on closeness to accompanying bronchi. We evaluate the performance of our automatic algorithm on 10 manual segmentations of arterial and venous trees from patients with and without pulmonary vascular disease, achieving an average voxel based overlap of 94.1% (range: 85.0% – 98.7%), outperforming a recent state-of-the-art interactive method.