Literature DB >> 21889378

Optimising time-varying gradient orientation for microstructure sensitivity in diffusion-weighted MR.

Ivana Drobnjak1, Daniel C Alexander.   

Abstract

Here we investigate whether varying the diffusion-gradient orientation during a general waveform single pulsed-field gradient sequence improves sensitivity to the size of coherently oriented pores over having a fixed orientation. The experiment optimises the shape and the orientation of the gradient waveform in each of a set of measurements to minimise the expected variance of estimates of the parameters of a simple model. A key application motivating the work is measuring the size of axons in white matter. Thus, we use a two compartment white matter model with impermeable, single-radius cylinders, and search for waveforms that maximise the sensitivity to axon radius, intra-cellular volume fraction and diffusion constants. Output of the optimisation suggests the only benefit of allowing the gradient orientation to vary in the plane perpendicular to the cylinders is that we can gain perpendicular gradient strength by maximising two orthogonal gradients simultaneously. This suggests that varying orientation in itself does not increase the sensitivity to model parameters. On the other hand, the variation in a plane containing the parallel direction increases the sensitivity significantly because parallel sensitivity improves the diffusion constant estimates. However, we also find that similar improvement in the estimates can be achieved without optimising the orientation, but by having one measurement in the parallel and the rest in the perpendicular direction. The optimisation searches a very large space where it cannot hope to find the global minimum so we cannot make a categorical conclusion. However, given the consistency of the results in multiple reruns and variations of the experiments reported here, we can suggest that for probing coherently oriented systems, pulse sequences with variable orientation, such as double-wave vector sequences, do not offer more advantage than fixed orientation sequences with optimised shape. The advantage of varying orientation is however likely to emerge for more complex systems with dispersed pore orientation.
Copyright © 2011 Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 21889378     DOI: 10.1016/j.jmr.2011.07.017

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  8 in total

1.  Q-space trajectory imaging for multidimensional diffusion MRI of the human brain.

Authors:  Carl-Fredrik Westin; Hans Knutsson; Ofer Pasternak; Filip Szczepankiewicz; Evren Özarslan; Danielle van Westen; Cecilia Mattisson; Mats Bogren; Lauren J O'Donnell; Marek Kubicki; Daniel Topgaard; Markus Nilsson
Journal:  Neuroimage       Date:  2016-02-23       Impact factor: 6.556

2.  Toward faster inference of micron-scale axon diameters using Monte Carlo simulations.

Authors:  Morgan Mercredi; Melanie Martin
Journal:  MAGMA       Date:  2018-03-07       Impact factor: 2.310

3.  Measurement tensors in diffusion MRI: generalizing the concept of diffusion encoding.

Authors:  Carl-Fredrik Westin; Filip Szczepankiewicz; Ofer Pasternak; Evren Ozarslan; Daniel Topgaard; Hans Knutsson; Markus Nilsson
Journal:  Med Image Comput Comput Assist Interv       Date:  2014

Review 4.  Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome.

Authors:  Susie Y Huang; Thomas Witzel; Boris Keil; Alina Scholz; Mathias Davids; Peter Dietz; Elmar Rummert; Rebecca Ramb; John E Kirsch; Anastasia Yendiki; Qiuyun Fan; Qiyuan Tian; Gabriel Ramos-Llordén; Hong-Hsi Lee; Aapo Nummenmaa; Berkin Bilgic; Kawin Setsompop; Fuyixue Wang; Alexandru V Avram; Michal Komlosh; Dan Benjamini; Kulam Najmudeen Magdoom; Sudhir Pathak; Walter Schneider; Dmitry S Novikov; Els Fieremans; Slimane Tounekti; Choukri Mekkaoui; Jean Augustinack; Daniel Berger; Alexander Shapson-Coe; Jeff Lichtman; Peter J Basser; Lawrence L Wald; Bruce R Rosen
Journal:  Neuroimage       Date:  2021-08-28       Impact factor: 7.400

5.  The impact of gradient strength on in vivo diffusion MRI estimates of axon diameter.

Authors:  Susie Y Huang; Aapo Nummenmaa; Thomas Witzel; Tanguy Duval; Julien Cohen-Adad; Lawrence L Wald; Jennifer A McNab
Journal:  Neuroimage       Date:  2014-12-09       Impact factor: 6.556

6.  A model for extra-axonal diffusion spectra with frequency-dependent restriction.

Authors:  Wilfred W Lam; Saâd Jbabdi; Karla L Miller
Journal:  Magn Reson Med       Date:  2014-07-15       Impact factor: 4.668

7.  PGSE, OGSE, and sensitivity to axon diameter in diffusion MRI: Insight from a simulation study.

Authors:  Ivana Drobnjak; Hui Zhang; Andrada Ianuş; Enrico Kaden; Daniel C Alexander
Journal:  Magn Reson Med       Date:  2015-03-25       Impact factor: 4.668

Review 8.  The sensitivity of diffusion MRI to microstructural properties and experimental factors.

Authors:  Maryam Afzali; Tomasz Pieciak; Sharlene Newman; Eleftherios Garyfallidis; Evren Özarslan; Hu Cheng; Derek K Jones
Journal:  J Neurosci Methods       Date:  2020-10-02       Impact factor: 2.390

  8 in total

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