Robust perfusion maps in Arterial Spin Labeling by means of M-estimators

Camille Maumet 1, * Pierre Maurel 1 Jean-Christophe Ferré 2 Christian Barillot 1
* Auteur correspondant
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : Non-invasive measurement of Cerebral Blood Flow (CBF) is now feasible thanks to the introduction of Arterial Spin Labeling (ASL) Magnetic Resonance Imaging (MRI) techniques. To date, due to the low signal-to-noise ratio of ASL, a single acquisition (pair of control/label scans) is not sufficient to estimate perfusion reliably. Instead, the acquisition is usually repeated several times and the perfusion information is calculated by averaging across the repetitions. However, due to its zero breakdown point, the sample mean is very sensitive to outliers. In this paper, we propose to compute ASL CBF maps using Huber's M-estimator, a robust statistical function that is not overly impacted by outliers. This method is compared to an empirical approach, introduced in [1], based on z-score thresholding.
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Communication dans un congrès
International Society for Magnetic Resonance in Medicine 21st Annual Meeting & Exhibition (ISMRM), Apr 2013, Salt Lake City, United States. pp.3037, 2013
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Dernière modification le : mercredi 2 août 2017 - 10:06:13
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  • HAL Id : inserm-00784862, version 1

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Camille Maumet, Pierre Maurel, Jean-Christophe Ferré, Christian Barillot. Robust perfusion maps in Arterial Spin Labeling by means of M-estimators. International Society for Magnetic Resonance in Medicine 21st Annual Meeting & Exhibition (ISMRM), Apr 2013, Salt Lake City, United States. pp.3037, 2013. <inserm-00784862>

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