Liver vessels segmentation using a hybrid geometrical moments/graph cuts method.

Simon Esneault 1 Cyril Lafon 2 Jean-Louis Dillenseger 3, *
* Auteur correspondant
1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 Applications des ultrasons à la thérapie
3 LTSI - Laboratoire Traitement du Signal et de l'Image
Abstract : This paper describes a fast and fully automatic method for liver vessel segmentation on computerized tomography scan preoperative images. The basis of this method is the introduction of a 3-D geometrical moment-based detector of cylindrical shapes within the minimum-cut/maximum-flow energy minimization framework. This method represents an original way to introduce a data term as a constraint into the widely used Boykov's graph cuts algorithm, and hence, to automate the segmentation. The method is evaluated and compared with others on a synthetic dataset. Finally, the relevancy of our method regarding the planning of a necessarily accurate percutaneous high-intensity focused ultrasound surgical operation is demonstrated with some examples.
Keywords : HCC liver Segmentation graph cuts geometrical moments vessels extraction
Type de document :
Article dans une revue
IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2010, 57 (2), pp.276-83. 〈10.1109/TBME.2009.2032161〉
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Soumis le : jeudi 29 octobre 2009 - 14:17:53
Dernière modification le : mercredi 16 mai 2018 - 11:23:40
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Simon Esneault, Cyril Lafon, Jean-Louis Dillenseger. Liver vessels segmentation using a hybrid geometrical moments/graph cuts method.. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2010, 57 (2), pp.276-83. 〈10.1109/TBME.2009.2032161〉. 〈inserm-00428687〉

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