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

Damien Mandry (1) , Béatrice Chevaillier (2) , Jean-Luc Collette (2) , Marie-Agnès Galloy , Yannick Ponvianne (1) , Jacques Felblinger (1) , Olivier Pietquin (2) , Michel Claudon (1)

1 IADI - Imagerie Adaptative Diagnostique et Interventionnelle
2 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 a vectorial quantification.

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. ⟨hal-00351433⟩