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Accelerated Microstructure Imaging via Convex Optimisation for regions with multiple fibres ({AMICO}x)

Type of publication Peer-reviewed
Publikationsform Proceedings (peer-reviewed)
Publication date 2015
Author Auría Rasclosa Anna, Romascano David Paul Roger, Canales-Rodriguez Eric, Wiaux Yves, Dirby T. B., Alexander Daniel, Thiran Jean-Philippe, Daducci Alessandro,
Project Advanced signal processing on the sphere for high angular resolution diffusion magnetic resonance imaging
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Proceedings (peer-reviewed)

Title of proceedings IEEE ICIP

Open Access

URL http://infoscience.epfl.ch
Type of Open Access Repository (Green Open Access)

Abstract

This paper reviews and extends our previous work to enable fast axonal diameter mapping from diffusion MRI data in the presence of multiple fibre populations within a voxel. Most of the existing microstructure imaging techniques use non-linear algorithms to fit their data models and consequently, they are computationally expensive and usually slow. Moreover, most of them assume a single axon orientation while numerous regions of the brain actually present more complex configurations, e.g. fiber crossing. We present a flexible framework, based on convex optimisation, that enables fast and accurate reconstructions of the microstructure organisation, not limited to areas where the white matter is coherently oriented. We show through numerical simulations the ability of our method to correctly estimate the microstructure features (mean axon diameter and intra-cellular volume fraction) in crossing regions.
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