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Conference Papers Year : 2010

Objective Assessment Of Renal DCE-MRI Image Segmentation

Abstract

In dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of renal perfusion with injection of a contrast agent, the segmentation of kidney in regions of interest like cortex, medulla and pelvo-caliceal cavities is necessary for accurate functional evaluation. Several semiautomatic segmentation methods using time-intensity curves of renal voxels have been recently developed. Most of the time, quantitative result validation consists in comparisons with a manual segmentation by an expert. However it can be questionable to consider such a segmentation as a ground truth, especially because of intra- and inter-operator variability. Moreover it makes comparisons between results published by different authors delicate. We propose a method to built synthetic DCE-MRI sequences from typical time-intensity curves and an anatomical model that can be used for objective assessment of renal internal structures.
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Dates and versions

hal-00551341 , version 1 (03-01-2011)

Identifiers

  • HAL Id : hal-00551341 , version 1

Cite

Béatrice Chevaillier, Jean-Luc Collette, Damien Mandry, Michel Claudon, Olivier Pietquin. Objective Assessment Of Renal DCE-MRI Image Segmentation. European Signal Processing Conference (EUSIPCO 2010), Aug 2010, Aalborg, Denmark. pp.1214-1218. ⟨hal-00551341⟩
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