Paper Info
Title
Robust cerebral blood flow map estimation in arterial spin labeling
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, the low signal-to-noise ratio of ASL gives us no option but to repeat the acquisition in order to accumulate enough data to get a reliable signal. Perfusion signal is usually extracted by averaging across the repetitions. However, due to its zero breakdown point, the sample mean is very sensitive to outliers. A single outlier can thus have strong detrimental effects on the sample mean estimate. In this paper, we propose to estimate robust ASL CBF maps by means of M-estimators to overcome the deleterious effects of outliers. The behavior of this method is compared to z-score thresholding as recommended in [8]. 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 (DSC).
Year
DOI
Venue
2012
10.1007/978-3-642-33530-3_19
MBIA
Keywords
Field
DocType
reliable signal,dynamic susceptibility,arterial spin,map estimation,enough data,cerebral blood flow,robust asl cbf map,sample mean,robust cerebral blood flow,perfusion signal,sample mean estimate
Sample mean and sample covariance,Site-directed spin labeling,Outlier,Cerebral blood flow,Thresholding,Nuclear magnetic resonance,Magnetic resonance imaging,Breakdown point,Physics,Perfusion
Conference
Citations 
PageRank 
References 
1
0.37
0
Authors
4
Name
Order
Citations
PageRank
Camille Maumet1254.68
Pierre Maurel2425.80
Jean-Christophe Ferré3186.07
Christian Barillot41290133.50