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

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.
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https://www.hal.inserm.fr/inserm-00428687
Contributor : Jean-Louis Dillenseger <>
Submitted on : Thursday, October 29, 2009 - 2:17:53 PM
Last modification on : Thursday, November 21, 2019 - 2:28:40 AM
Long-term archiving on: : Thursday, June 17, 2010 - 6:40:32 PM

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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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