Literature DB >> 29793061

Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI.

D K Jones1, D C Alexander2, R Bowtell3, M Cercignani4, F Dell'Acqua5, D J McHugh6, K L Miller7, M Palombo8, G J M Parker9, U S Rudrapatna10, C M W Tax10.   

Abstract

The key component of a microstructural diffusion MRI 'super-scanner' is a dedicated high-strength gradient system that enables stronger diffusion weightings per unit time compared to conventional gradient designs. This can, in turn, drastically shorten the time needed for diffusion encoding, increase the signal-to-noise ratio, and facilitate measurements at shorter diffusion times. This review, written from the perspective of the UK National Facility for In Vivo MR Imaging of Human Tissue Microstructure, an initiative to establish a shared 300 mT/m-gradient facility amongst the microstructural imaging community, describes ten advantages of ultra-strong gradients for microstructural imaging. Specifically, we will discuss how the increase of the accessible measurement space compared to a lower-gradient systems (in terms of Δ, b-value, and TE) can accelerate developments in the areas of 1) axon diameter distribution mapping; 2) microstructural parameter estimation; 3) mapping micro-vs macroscopic anisotropy features with gradient waveforms beyond a single pair of pulsed-gradients; 4) multi-contrast experiments, e.g. diffusion-relaxometry; 5) tractography and high-resolution imaging in vivo and 6) post mortem; 7) diffusion-weighted spectroscopy of metabolites other than water; 8) tumour characterisation; 9) functional diffusion MRI; and 10) quality enhancement of images acquired on lower-gradient systems. We finally discuss practical barriers in the use of ultra-strong gradients, and provide an outlook on the next generation of 'super-scanners'.
Copyright © 2018. Published by Elsevier Inc.

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Year:  2018        PMID: 29793061     DOI: 10.1016/j.neuroimage.2018.05.047

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  49 in total

1.  Oscillating diffusion-encoding with a high gradient-amplitude and high slew-rate head-only gradient for human brain imaging.

Authors:  Ek T Tan; Robert Y Shih; Jhimli Mitra; Tim Sprenger; Yihe Hua; Chitresh Bhushan; Matt A Bernstein; Jennifer A McNab; J Kevin DeMarco; Vincent B Ho; Thomas K F Foo
Journal:  Magn Reson Med       Date:  2020-02-03       Impact factor: 4.668

2.  Maxwell-compensated design of asymmetric gradient waveforms for tensor-valued diffusion encoding.

Authors:  Filip Szczepankiewicz; Carl-Fredrik Westin; Markus Nilsson
Journal:  Magn Reson Med       Date:  2019-05-31       Impact factor: 4.668

Review 3.  Magnetic Resonance Imaging Studies of Neurodegenerative Disease: From Methods to Translational Research.

Authors:  Peiyu Huang; Minming Zhang
Journal:  Neurosci Bull       Date:  2022-06-30       Impact factor: 5.203

4.  Microstructural Periventricular White Matter Injury in Post-Hemorrhagic Ventricular Dilatation.

Authors:  Albert M Isaacs; Jeffrey J Neil; James P McAllister; Sonika Dahiya; Leandro Castaneyra-Ruiz; Harri Merisaari; Haley E Botteron; Dimitrios Alexopoulous; Ajit George; Sun Peng; Diego M Morales; Joshua Shimony; Jennifer Strahle; Yan Yan; Sheng-Kwei Song; David D Limbrick; Christopher Smyser
Journal:  Neurology       Date:  2021-11-19       Impact factor: 9.910

5.  Improved MUSSELS reconstruction for high-resolution multi-shot diffusion weighted imaging.

Authors:  Merry Mani; Hemant Kumar Aggarwal; Vincent Magnotta; Mathews Jacob
Journal:  Magn Reson Med       Date:  2019-12-02       Impact factor: 4.668

6.  Peripheral nerve stimulation limits of a high amplitude and slew rate magnetic field gradient coil for neuroimaging.

Authors:  Ek T Tan; Yihe Hua; Eric W Fiveland; Mark E Vermilyea; Joseph E Piel; Keith J Park; Vincent B Ho; Thomas K F Foo
Journal:  Magn Reson Med       Date:  2019-08-06       Impact factor: 4.668

7.  Diffuse axonal injury has a characteristic multidimensional MRI signature in the human brain.

Authors:  Dan Benjamini; Diego Iacono; Michal E Komlosh; Daniel P Perl; David L Brody; Peter J Basser
Journal:  Brain       Date:  2021-04-12       Impact factor: 13.501

Review 8.  The present and the future of microstructure MRI: From a paradigm shift to normal science.

Authors:  Dmitry S Novikov
Journal:  J Neurosci Methods       Date:  2020-10-21       Impact factor: 2.390

9.  Whole-Brain Imaging of Subvoxel T1-Diffusion Correlation Spectra in Human Subjects.

Authors:  Alexandru V Avram; Joelle E Sarlls; Peter J Basser
Journal:  Front Neurosci       Date:  2021-06-11       Impact factor: 4.677

10.  A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra-strong gradient MRI scanners.

Authors:  Umesh Rudrapatna; Greg D Parker; Jamie Roberts; Derek K Jones
Journal:  Magn Reson Med       Date:  2020-10-03       Impact factor: 3.737

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