| titre : |
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Robust Cerebral Blood Flow Map Estimation in Arterial Spin Labeling |
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| auteur(s) : |
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Camille Maumet ( ) 1, Pierre Maurel1, Jean-Christophe Ferré1, 2, Christian Barillot1 |
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| laboratoire : |
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| résumé : |
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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). |
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| domaine : |
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Sciences du Vivant/Neurosciences
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langue du texte
intégral : |
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Anglais |
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| type de publication : |
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Communications avec actes |
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| titre de l'ouvrage : |
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Proceedings of the Second International Workshop on Multimodal Brain Image Analysis (MBIA), held in conjunction with MICCAI 2012 |
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| Audience : |
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internationale |
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| date de publication : |
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01/10/2012 |
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| page, identifiant, ... : |
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215-224 |
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| titre de la conférence : |
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International Workshop on Multimodal Brain Image Analysis (MBIA), held in conjunction with MICCAI 2012 |
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| date de la conférence : |
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10/2012 |
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| ville : |
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Nice |
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| pays : |
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France |
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