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

  • Auría Rasclosa, Anna
  • Romascano, David Paul Roger
  • Canales-Rodriguez, Erick J.
  • Dyrby, Tim B.
  • Alexander, Daniel C.
  • Thiran, Jean-Philippe
  • Wiaux, Yves
  • Daducci, Alessandro
Publication Date
Jan 11, 2016
Infoscience @ EPFL
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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.

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