Reducing acquisition time for microstructure imaging with spatially-regularized global optimization
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.
Cite this item
Auría Rasclosa, A., Romascano, D. P. R., Canales-Rodriguez, E. J., Dyrby, T. B., Alexander, D. C., Thiran, J.-P., Wiaux, Y., & Daducci, A. (2016). Reducing acquisition time for microstructure imaging with spatially-regularized global optimization. 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM), Geneva, Switzerland. https://infoscience.epfl.ch/handle/20.500.14299/122103
Click Copy to copy the citation, or select the text manually.
2016
REVIEWED
EPFL
| Event name | Event place | Event date |
Geneva, Switzerland | June 26-30 2016 | |