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Reducing acquisition time for microstructure imaging with spatially-regularized global optimization

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 OHBM

Open Access

Type of Open Access Repository (Green Open Access)


Microstructure imaging with diffusion MRI (dMRI) is usually based on fitting models to the data using voxelwise nonlinear procedures that (i) are time consuming and (ii) need long acquisitions. Recently, we introduced the AMICO framework to accelerate the fit; here, we propose an extension to enable faster acquisitions, too. Our formulation allows exploiting information from neighboring voxels that is not accessible with existing approaches.