Robust estimation of the cerebral blood flow in arterial spin labelling - Archive ouverte HAL Access content directly
Journal Articles Magnetic Resonance Imaging Year : 2014

Robust estimation of the cerebral blood flow in arterial spin labelling

(1) , (2) , (3) , (1)
1
2
3
Pierre Maurel
Jean-Christophe Ferré

Abstract

The introduction of Arterial Spin Labelling (ASL) techniques in Magnetic Resonance Imaging (MRI) has made feasible a non-invasive measurement of the Cerebral Blood Flow (CBF). However, to date, the low signal-to-noise ratio of ASL gives us no option but to repeat the acquisition to accumulate enough data in order to get a reliable signal. The perfusion signal is then usually extracted by averaging across the repetitions. But the sample mean is very sensitive to outliers. A single incorrect observation can therefore be the source of strong detrimental effects on the perfusion-weighted image estimated with the sample mean. We propose to estimate robust ASL CBF maps with M-estimators to overcome the deleterious effects of outliers. The behaviour of this method is compared to z-score thresholding as recommended in [1]. Validation on simulated and real data is provided. Quantitative validation is undertaken by measuring the correlation with the most widespread technique to measure perfusion with MRI: Dynamic Susceptibility weighted Contrast imaging.
Fichier principal
Vignette du fichier
Maumet_MRI_2014_ASL-M-estimators.pdf (1.03 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inserm-00942814 , version 1 (19-03-2014)

Identifiers

Cite

Camille Maumet, Pierre Maurel, Jean-Christophe Ferré, Christian Barillot. Robust estimation of the cerebral blood flow in arterial spin labelling. Magnetic Resonance Imaging, 2014, 32 (5), pp.497 - 504. ⟨10.1016/j.mri.2014.01.016⟩. ⟨inserm-00942814⟩
595 View
629 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More