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Graph cut liver segmentation for interstitial ultrasound therapy

Abstract : Within a specific medical application, the primary liver cancer curative treatment by a percutaneous high intensity ultrasound surgery, our study was designed to propose a fast 3D semi-automatic segmentation method of the liver, the tumor and the hepatic vascular networks. This method is characterized by a graph description of contrast medium injected CT volume where the links between the nodes describe either the degrees of similarity between voxels of the same class (region based approach) or the class changes between two neighboring voxels (boundary based approaches). The various weights describing these two properties are defined after a first interactive training phase. A Max-Flow/Min-Cut graph cut algorithm allowed partitioning the volume in two representative subsets of the segmented classes.
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https://www.hal.inserm.fr/inserm-00187316
Contributor : Jean-Louis Dillenseger <>
Submitted on : Wednesday, November 14, 2007 - 12:14:09 PM
Last modification on : Wednesday, November 20, 2019 - 2:36:13 AM
Long-term archiving on: : Monday, April 12, 2010 - 2:09:59 AM

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Simon Esneault, Najah Hraiech, Eric Delabrousse, Jean-Louis Dillenseger. Graph cut liver segmentation for interstitial ultrasound therapy. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007. EMBS 2007., Aug 2007, Lyon, France. pp.5247-5250, ⟨10.1109/IEMBS.2007.4353525⟩. ⟨inserm-00187316⟩

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