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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.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00353237
Contributor : Sébastien van Luchene <>
Submitted on : Thursday, January 15, 2009 - 9:56:10 AM
Last modification on : Monday, December 14, 2020 - 2:10:02 PM

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  • HAL Id : hal-00353237, version 1

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SUPELEC | CNRS | UNIV-LORRAINE | IADI-UL | BMS-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. ⟨hal-00353237⟩

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