Robust perfusion maps in Arterial Spin Labeling by means of M-estimators - Archive ouverte HAL Access content directly
Conference Papers Year : 2013

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

(1) , (1) , (2) , (1)
1
2

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.
Fichier principal
Vignette du fichier
Maumet_ISMRM2013_outliers.pdf (145.19 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inserm-00784862 , version 1 (10-06-2013)

Identifiers

  • HAL Id : inserm-00784862 , version 1

Cite

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. ⟨inserm-00784862⟩
355 View
134 Download

Share

Gmail Facebook Twitter LinkedIn More