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3D Multi-Object Segmentation of Cardiac MSCT Imaging by using a Multi-Agent Approach.

Abstract : We propose a new technique for general purpose, semi-interactive and multi-object segmentation in N-dimensional images, applied to the extraction of cardiac structures in MultiSlice Computed Tomography (MSCT) imaging. The proposed approach makes use of a multi-agent scheme combined with a supervised classification methodology allowing the introduction of a priori information and presenting fast computing times. The multi-agent system is organised around a communicating agent which manages a population of situated agents which segment the image through cooperative and competitive interactions. The proposed technique has been tested on several patient data sets. Some typical results are finally presented and discussed.
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https://www.hal.inserm.fr/inserm-00188488
Contributor : Lotfi Senhadji <>
Submitted on : Tuesday, November 20, 2007 - 10:42:10 AM
Last modification on : Thursday, March 5, 2020 - 6:38:47 PM
Long-term archiving on: : Monday, April 12, 2010 - 2:32:48 AM

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Julien Fleureau, Mireille Garreau, Dominique Boulmier, Alfredo Hernandez. 3D Multi-Object Segmentation of Cardiac MSCT Imaging by using a Multi-Agent Approach.. Conference proceedings : .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Institute of Electrical and Electronics Engineers (IEEE), 2007, 1, pp.6003-6006. ⟨10.1109/IEMBS.2007.4353716⟩. ⟨inserm-00188488⟩

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