Compressive Matched Filter for Cerebral Blood Flow Quantification with ASL: sampling diversity or repetition?

Lei Yu 1, * Pierre Maurel 1 Christian Barillot 1 Rémi Gribonval 2
* Auteur correspondant
1 VisAGeS - Vision, Action and information manaGement System in health
INSERM : U746, IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, Inria Rennes – Bretagne Atlantique
2 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Arterial Spin Labeling (ASL) is a noninvasive perfusion technique which allows the absolute quantification for Cerebral Blood Flow (CBF). The perfusion is obtained from the difference between images with and without magnetic spin labeling of the arterial blood and the captured signal is around 0.5-2% of the magnitude of the labeling images, so the noise is one of the main problems for further data analysis. Classical method, Mono-TI, for CBF quantification is averaging repetitions with only one Inversion Time (TI) - the time delay between labeling and acquisition to allow the labeled blood to arrive the imaging slice. It improves the robustness to noise, however, cannot compensate the variety of Arterial Arrival Time (AAT). In this paper, Diverse-TI is proposed to exploit different TI sampling instants (sampling diversity) to improve the robustness to variety of AAT and simultaneously average repetitions with each TI (sampling repetitions) to improve the robustness to noise. Generally, the sampling diversity is relatively small and can be considered as compressed measurements, thus the Compressive Matched Filter (CMF) enlightened from sparsity is exploited to directly reconstruct CBF and AAT directly from compressed measurements. Meanwhile, regarding the CBF quantification performance, the compromise between the sampling repetition and sampling diversity is discussed and the empirical protocol to determine the sampling diversity is proposed. Simulations are carried out to highlight our discussions.
Type de document :
Communication dans un congrès
Miccai Workshop on Sparsity Techniques in Medical Imaging (STMI'12), Oct 2012, Nice, France. pp.0-0, 2012


https://hal.archives-ouvertes.fr/hal-00762774
Contributeur : Lei Yu <>
Soumis le : vendredi 7 décembre 2012 - 18:01:40
Dernière modification le : mardi 19 mai 2015 - 01:09:16

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Lei Yu, Pierre Maurel, Christian Barillot, Rémi Gribonval. Compressive Matched Filter for Cerebral Blood Flow Quantification with ASL: sampling diversity or repetition?. Miccai Workshop on Sparsity Techniques in Medical Imaging (STMI'12), Oct 2012, Nice, France. pp.0-0, 2012. <hal-00762774>

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