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  4. Reducing acquisition time for microstructure imaging with spatially-regularized global optimization
 
conference paper not in proceedings

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

Auría Rasclosa, Anna  
•
Romascano, David Paul Roger  
•
Canales-Rodriguez, Erick J.
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2016
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.

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Type
conference paper not in proceedings
Author(s)
Auría Rasclosa, Anna  
Romascano, David Paul Roger  
Canales-Rodriguez, Erick J.
Dyrby, Tim B.
Alexander, Daniel C.
Thiran, Jean-Philippe  
Wiaux, Yves  
Daducci, Alessandro  
Date Issued

2016

Subjects

Diffusion MRI

•

Microstructure imaging

•

Convex optimization

•

White Matter modeling

•

LTS5

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LTS5  
Event nameEvent placeEvent date
22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM)

Geneva, Switzerland

June 26-30 2016

Available on Infoscience
January 11, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/122103
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