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

Michel Claudon (1) , Damien Mandry (1) , Claude R. 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

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.

Michel Claudon, Damien Mandry, Claude R. 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⟩