Sparse and optimal acquisition design for diffusion MRI and beyond.

Medical Physics
Cheng Guan KoayM Elizabeth Meyerand

Abstract

Diffusion magnetic resonance imaging (MRI) in combination with functional MRI promises a whole new vista for scientists to investigate noninvasively the structural and functional connectivity of the human brain-the human connectome, which had heretofore been out of reach. As with other imaging modalities, diffusion MRI data are inherently noisy and its acquisition time-consuming. Further, a faithful representation of the human connectome that can serve as a predictive model requires a robust and accurate data-analytic pipeline. The focus of this paper is on one of the key segments of this pipeline-in particular, the development of a sparse and optimal acquisition (SOA) design for diffusion MRI multiple-shell acquisition and beyond. The authors propose a novel optimality criterion for sparse multiple-shell acquisition and quasimultiple-shell designs in diffusion MRI and a novel and effective semistochastic and moderately greedy combinatorial search strategy with simulated annealing to locate the optimum design or configuration. The goal of the optimality criteria is threefold: first, to maximize uniformity of the diffusion measurements in each shell, which is equivalent to maximal incoherence in angular measurements; second, to ...Continue Reading

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Citations

Jul 1, 2013·Concepts in Magnetic Resonance. Part A, Bridging Education and Research·Cheng Guan Koay, Evren Özarslan
Apr 30, 2013·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Emmanuel CaruyerRachid Deriche
Jan 28, 2015·Medical Image Analysis·A Pasha HosseinborAndrew L Alexander
Mar 14, 2019·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Santiago CoelhoAlejandro F Frangi
Feb 14, 2017·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Farshid SepehrbandMarkus Barth
Apr 22, 2019·Brain Structure & Function·Nian WangG Allan Johnson
Jan 30, 2016·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Tim SprengerMarion I Menzel

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