Coronary vein tracking from MSCT using a minimum cost path approach

Abstract : In this paper, we deal with the problem of tracking the coronary venous tree from Multi-Slice Computed Tomography (MSCT) angiography. Contrast inhomogeneities are a major issue. The proposed tracking procedure is based on minimum-cost path computation and makes use of `Fast-Marching' technique. The algorithm aims at propagating a front inside a vascular structure and extracting a centered path. To achieve this goal, a specific cost function which combines the vessel local orientation to a vesselness measure is designed. Experiments on synthetic data and real data have been performed. Coronary veins with contrast difficulties are extracted with a low computing time.
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Contributeur : Lotfi Senhadji <>
Soumis le : mardi 19 octobre 2010 - 13:04:06
Dernière modification le : mercredi 16 mai 2018 - 11:23:17
Document(s) archivé(s) le : vendredi 2 décembre 2016 - 01:05:48


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Marie-Paule Garcia, Christine Toumoulin, Pascal Haigron, Jérôme Velut, Mireille Garreau, et al.. Coronary vein tracking from MSCT using a minimum cost path approach. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2010), Apr 2010, Rotterdam, Netherlands. IEEE Press, pp.17-20, 2010, 〈10.1109/ISBI.2010.5490424〉. 〈inserm-00526972〉



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