Skip to Main content Skip to Navigation
Conference papers

A Computational Framework for Experimental Design in Diffusion MRI

Emmanuel Caruyer 1, * Rachid Deriche 1
* Corresponding author
1 ATHENA - Computational Imaging of the Central Nervous System
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : In this work, we develop a computational framework for optimal design of experiment in parametric signal reconstruction. We apply this to the optimal design of one dimensional Q-space, Q-ball imaging and multiple Q-shell experimental design. We present how to construct sampling scheme leading to minimal condition number, and compare to state-of-the-art sampling methods. We show in particular a better noise performance of these scheme through Monte-Carlo simulations for the reconstruction of synthetic signal. This demonstrates the impact of this computational framework on acquisition in diffusion MRI.
Document type :
Conference papers
Complete list of metadata

Cited literature [15 references]  Display  Hide  Download
Contributor : Emmanuel Caruyer Connect in order to contact the contributor
Submitted on : Thursday, November 1, 2012 - 9:13:36 AM
Last modification on : Thursday, January 20, 2022 - 4:17:43 PM
Long-term archiving on: : Saturday, February 2, 2013 - 3:39:27 AM


Files produced by the author(s)


  • HAL Id : hal-00747700, version 1



Emmanuel Caruyer, Rachid Deriche. A Computational Framework for Experimental Design in Diffusion MRI. CDMRI - MICCAI Workshop on Computational Diffusion MRI, Oct 2012, Nice, France. ⟨hal-00747700⟩



Les métriques sont temporairement indisponibles