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  4. Accelerated Microstructure Imaging via Convex Optimisation for regions with multiple fibres (AMICOx)
 
conference paper

Accelerated Microstructure Imaging via Convex Optimisation for regions with multiple fibres (AMICOx)

Auría Rasclosa, Anna  
•
Romascano, David Paul Roger  
•
Canales-Rodriguez, Eric
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2015
2015 IEEE International Conference on Image Processing (ICIP)
IEEE International Conference on Image Processing 2015

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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388-eaKu-291.pdf

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Preprint

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http://purl.org/coar/version/c_71e4c1898caa6e32

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openaccess

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1.26 MB

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Adobe PDF

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8d0d05ea9f5599447fc0e8d5393b8799

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