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

Type of publication Peer-reviewed
Publikationsform Proceedings (peer-reviewed)
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 Towards micro-structure-based tractography for quantitative brain connectivity analysis
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Proceedings (peer-reviewed)

Title of proceedings 22nd Annual Meeting of the Organization for Human Brain Mapping ({OHBM})


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.