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Communication Dans Un Congrès Année : 2011

Efficient multi-object segmentation of 3D medical images using clustering and graph cuts

Résumé

We propose an application of multi-label ''Graph Cut" optimization algorithms to the simultaneous segmentation of multiple anatomical structures, initialized via an over-segmentation of the image computed by a fast centroidal Voronoi diagram (CVD) clustering algorithm. With respect to comparable segmentations computed directly on the voxels of image volumes, we demonstrate performance improvements on both execution speed and memory footprint by, at least, an order of magnitude, making it possible to process large volumes on commodity hardware which could not be processed pixel-wise.
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Dates et versions

hal-00658028 , version 1 (09-01-2012)

Identifiants

Citer

Razmig Kéchichian, Sébastien Valette, Michel Desvignes, Rémy Prost. Efficient multi-object segmentation of 3D medical images using clustering and graph cuts. ICIP 2011 - 18th IEEE International Conference on Image Processing, Sep 2011, Bruxelles, Belgium. pp.2149-2152, ⟨10.1109/ICIP.2011.6116036⟩. ⟨hal-00658028⟩
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