Literature DB >> 26887659

Quantitative susceptibility mapping at 3 T: comparison of acquisition methodologies.

M Louis Lauzon1,2, Cheryl R McCreary1,2, D Adam McLean1,3, Marina Salluzzi1,3, Richard Frayne1,2.   

Abstract

Quantitative susceptibility mapping (QSM) is fast becoming a routine clinical tool in the evaluation and assessment of neurological diseases. Unfortunately, there is currently no established standard scanning protocol, and it is uncertain whether different acquisition strategies alter the derived estimates of magnetic susceptibility. Here, we compare some key deep grey matter susceptibility values in healthy adults acquired from various QSM sequences using either unipolar or bipolar readout gradients, accelerated imaging or not, and gradient-warp correction or not. Four healthy adult volunteers were scanned three times each within 4 days at 3 T. The eight different QSM combinations were acquired in different randomised order for each session, and then co-registered to an anatomical atlas. The average and standard deviations of magnetic susceptibilities in the caudate, putamen, red nucleus, internal and external globus pallidus were used in a linear mixed effects model to determine the influence of the various acquisition parameters. Gradient-warp correction was the only statistically significant fixed effect (p < 0.01), but its impact was small (~5% change) compared with the overall fixed effects. The random effects coefficients (i.e. the various tissues) were statistically significant. Based on our limited multiple observations in healthy adult volunteers, the susceptibilities in deep grey matter are statistically equivalent when QSM source data are acquired with or without accelerated imaging using either unipolar or bipolar readout gradients. There is, however, a statistically meaningful, but small, difference if gradient-warp correction is used or not.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  QSM; gradient-warp correction; methodology; parallel imaging; readout gradient polarity; susceptibility

Mesh:

Year:  2016        PMID: 26887659     DOI: 10.1002/nbm.3492

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  6 in total

1.  Methods for the computation of templates from quantitative magnetic susceptibility maps (QSM): Toward improved atlas- and voxel-based analyses (VBA).

Authors:  Jannis Hanspach; Michael G Dwyer; Niels P Bergsland; Xiang Feng; Jesper Hagemeier; Nicola Bertolino; Paul Polak; Jürgen R Reichenbach; Robert Zivadinov; Ferdinand Schweser
Journal:  J Magn Reson Imaging       Date:  2017-03-06       Impact factor: 4.813

2.  Multicenter reproducibility of quantitative susceptibility mapping in a gadolinium phantom using MEDI+0 automatic zero referencing.

Authors:  Kofi Deh; Keigo Kawaji; Marjolein Bulk; Louise Van Der Weerd; Emelie Lind; Pascal Spincemaille; Kelly McCabe Gillen; Johan Van Auderkerke; Yi Wang; Thanh D Nguyen
Journal:  Magn Reson Med       Date:  2018-10-04       Impact factor: 4.668

3.  Automatic localization of the subthalamic nucleus on patient-specific clinical MRI by incorporating 7 T MRI and machine learning: Application in deep brain stimulation.

Authors:  Jinyoung Kim; Yuval Duchin; Reuben R Shamir; Remi Patriat; Jerrold Vitek; Noam Harel; Guillermo Sapiro
Journal:  Hum Brain Mapp       Date:  2018-10-31       Impact factor: 5.038

4.  Calgary Normative Study: design of a prospective longitudinal study to characterise potential quantitative MR biomarkers of neurodegeneration over the adult lifespan.

Authors:  Cheryl R McCreary; Marina Salluzzi; Linda B Andersen; David Gobbi; Louis Lauzon; Feryal Saad; Eric E Smith; Richard Frayne
Journal:  BMJ Open       Date:  2020-08-13       Impact factor: 2.692

5.  A robust multi-scale approach to quantitative susceptibility mapping.

Authors:  Julio Acosta-Cabronero; Carlos Milovic; Hendrik Mattern; Cristian Tejos; Oliver Speck; Martina F Callaghan
Journal:  Neuroimage       Date:  2018-07-31       Impact factor: 6.556

6.  A longitudinal magnetic resonance imaging study of neurodegenerative and small vessel disease, and clinical cognitive trajectories in non demented patients with transient ischemic attack: the PREVENT study.

Authors:  Sana Tariq; Christopher D d'Esterre; Tolulope T Sajobi; Eric E Smith; Richard Stewart Longman; Richard Frayne; Shelagh B Coutts; Nils D Forkert; Philip A Barber
Journal:  BMC Geriatr       Date:  2018-07-16       Impact factor: 3.921

  6 in total

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