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Reducing acquisition time for axon diameter mapping using global optimization in the spatial-angular-microstructure space

Type of publication Peer-reviewed
Publikationsform Proceedings (peer-reviewed)
Publication date 2016
Author Auría Rasclosa Anna, Romascano David Paul Roger, Canales-Rodriguez Erick J., Dyrby Tim B., Alexander Daniel C., Thiran Jean-Philippe, Wiaux Yves, 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 ISMRM

Open Access

Type of Open Access Repository (Green Open Access)


State-of-the-art microstructure imaging methods usually fit biophysical models to the diffusion MRI data on a voxel-by-voxel basis using non-linear procedures that require both long acquisitions and processing time. We recently introduced AMICO, a framework to reformulate these techniques as efficient linear problems and enable faster reconstructions. Here, we propose an extension that enables robust reconstructions from a reduced number of diffusion measurements, thus leading to faster acquisitions, too. Our novel formulation estimates simultaneously the microstructure configuration in all voxels as a global optimization problem, exploiting information from neighboring voxels that cannot be taken into account with existing techniques.