Functional semi-automated segmentation of renal DCE-MRI sequences: preliminary results

Michel Claudon 1 Damien Mandry 1 Claude Pasquier 2 Béatrice Chevaillier 3 Jean-Luc Collette 3 Olivier Pietquin 3
1 IADI - Imagerie Adaptative Diagnostique et Interventionnelle
2 LPS - Laboratoire de Physique des Solides
3 SUPELEC-Campus Metz
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 vector quantization.
Type de document :
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-00353237
Contributeur : Sébastien Van Luchene <>
Soumis le : jeudi 15 janvier 2009 - 09:56:10
Dernière modification le : jeudi 29 mars 2018 - 11:06:04

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  • HAL Id : hal-00353237, version 1

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SUPELEC | UNIV-LORRAINE | IADI-UL

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Michel Claudon, Damien Mandry, Claude Pasquier, Béatrice Chevaillier, Jean-Luc Collette, et al.. Functional semi-automated segmentation of renal DCE-MRI sequences: preliminary results. ESMRMB 08, Oct 2008, Valencia, Spain. pp.CD-ROM Proceedings, 2008. 〈hal-00353237〉

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