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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Contributor : Béatrice Chevaillier <>
Submitted on : Monday, January 3, 2011 - 2:43:05 PM
Last modification on : Thursday, March 29, 2018 - 11:06:04 AM

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  • HAL Id : hal-00551341, version 1

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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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