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Conference Papers Year : 2012

A Computational Framework for Experimental Design in Diffusion MRI

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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.
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hal-00747700 , version 1 (01-11-2012)

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  • HAL Id : hal-00747700 , version 1

Cite

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⟩

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