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conference paper not in proceedings
Reducing acquisition time for microstructure imaging with spatially-regularized global optimization
2016
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.
Type
conference paper not in proceedings
Authors
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Canales-Rodriguez, Erick J.
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Dyrby, Tim B.
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Alexander, Daniel C.
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Publication date
2016
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
Geneva, Switzerland | June 26-30 2016 | |
Available on Infoscience
January 11, 2016
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