Functional semi-automated segmentation of renal DCE-MRI sequences using vector quantization - CentraleSupélec Access content directly
Conference Papers Year : 2008

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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Dates and versions

hal-00351433 , version 1 (09-01-2009)

Identifiers

  • HAL Id : hal-00351433 , version 1

Cite

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⟩
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