Functional semi-automated segmentation of renal DCE-MRI sequences using vector quantization

Abstract : Dynamic contrast-enhanced (DCE) MRI sequences are the most used for renal functional analysis. Numerous parameters can be computed from time-intensity curves that require a time- consuming segmentation. The aim of this study, which was part of a national multicentric grant approved by the ethics committee, was to evaluate a semi-automated segmentation of renal DCE-MRI using a vectorial quantification.
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Communication dans un congrès
ESMRMB 08, Oct 2008, Valencia, Spain. pp.CD-ROM Proceedings, 2008
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https://hal-supelec.archives-ouvertes.fr/hal-00351433
Contributeur : Sébastien Van Luchene <>
Soumis le : vendredi 9 janvier 2009 - 11:38:47
Dernière modification le : mercredi 18 mai 2016 - 01:04:33

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  • HAL Id : hal-00351433, version 1

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Damien Mandry, Béatrice Chevaillier, Jean-Luc Collette, Marie-Agnès Galloy, Yannick Ponvianne, et al.. Functional semi-automated segmentation of renal DCE-MRI sequences using vector quantization. ESMRMB 08, Oct 2008, Valencia, Spain. pp.CD-ROM Proceedings, 2008. <hal-00351433>

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