Sulci and curvature: detection of the roof

Christophe Renault 1 Michel Desvignes 1 Nicolas Royackkers 1 Marinette Revenu 1
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : Automatic labelling and identification of cortical sulci which can be used as landmarks in registration between patients or between different modalities. Methods used to achieve this goal are the segmentation of the brain, the detection of sulci using classification and threshold or morphologic tool, the statistical or structural recognition techniques. Our previous work proceeds with segmentation of the brain by thresholding the LCR, and skeletonisation of the LCR. We present here a method based on geometrical feature (curvature) which doesn't require the fine segmentation of the LCR-Grey Matter or of the Grey Matter-White Matter interface. Although our previous work [1] used the superficial trace of sulci, we detect the roof of the sulci, which presents less intersection between sulci than the superficial trace of sulci.
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Communication dans un congrès
NeuroImage. Fifth International Conference on Functional Mapping of the Human Brain, Jun 1999, Dusseldorf, Germany. 9 (6), pp.S-169, 1999
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  • HAL Id : hal-00821988, version 1

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Christophe Renault, Michel Desvignes, Nicolas Royackkers, Marinette Revenu. Sulci and curvature: detection of the roof. NeuroImage. Fifth International Conference on Functional Mapping of the Human Brain, Jun 1999, Dusseldorf, Germany. 9 (6), pp.S-169, 1999. 〈hal-00821988〉

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