Literature DB >> 36000559

Impact of autocalibration method on accelerated EPI of the cervical spinal cord at 7 T.

Alan C Seifert1,2,3, Junqian Xu1,2,3,4,5.   

Abstract

PURPOSE: The spinal cord contains sensorimotor neural circuits of scientific and clinical interest. However, spinal cord functional MRI (fMRI) is significantly more technically demanding than brain fMRI, due primarily to its proximity to the lungs. Accelerated echo-planar imaging (EPI) at 7 T is particularly vulnerable to k-space phase inconsistencies induced by motion or B0 fluctuation, during either autocalibration signal (ACS) or time-series acquisition. For 7 T brain fMRI, sensitivity to motion and B0 fluctuation can be reduced using a re-ordered segmented EPI ACS based on the fast low-angle excitation echo-planar technique (FLEET). However, respiration-induced B0 fluctuations (exceeding 100 Hz at C7) are greater, and fewer k-space lines per slice are required for cervical spinal cord fMRI at 7 T, necessitating a separate evaluation of ACS methods.
METHODS: We compared 24-line single-shot EPI with 48-line two-shot segmented EPI, two-shot FLEET, and gradient echo (GRE)-based ACS acquisition methods, performed under various physiological conditions, in terms of temporal signal-to-noise ratio and prevalence of artifacts in generalized autocalibrating partially parallel acquisition (GRAPPA)-accelerated EPI of the cervical spinal cord at 7 T.
RESULTS: Segmented EPI and FLEET ACS produce images with nearly identical patterns of severe image artifacts. GRE and single-shot EPI ACS consistently produce images free from significant artifacts, and temporal signal-to-noise ratio is significantly greater for GRE ACS, particularly in lower slices where through-slice dephasing is most severe.
CONCLUSIONS: GRE and single-shot EPI-ACS acquisition methods, which are robust to respiration-induced phase errors between k-space segments, produce images with fewer and less severe artifacts than either FLEET or conventionally segmented EPI for accelerated EPI of the cervical spinal cord at 7 T.
© 2022 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  autocalibration signal; functional MRI; spinal cord; temporal SNR; ultrahigh-field MRI

Mesh:

Year:  2022        PMID: 36000559      PMCID: PMC9529816          DOI: 10.1002/mrm.29415

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   3.737


  30 in total

1.  Respiratory effects in human functional magnetic resonance imaging due to bulk susceptibility changes.

Authors:  D Raj; A W Anderson; J C Gore
Journal:  Phys Med Biol       Date:  2001-12       Impact factor: 3.609

2.  A global optimisation method for robust affine registration of brain images.

Authors:  M Jenkinson; S Smith
Journal:  Med Image Anal       Date:  2001-06       Impact factor: 8.545

3.  Generalized autocalibrating partially parallel acquisitions (GRAPPA).

Authors:  Mark A Griswold; Peter M Jakob; Robin M Heidemann; Mathias Nittka; Vladimir Jellus; Jianmin Wang; Berthold Kiefer; Axel Haase
Journal:  Magn Reson Med       Date:  2002-06       Impact factor: 4.668

4.  Single, slice-specific z-shim gradient pulses improve T2*-weighted imaging of the spinal cord.

Authors:  Jürgen Finsterbusch; Falk Eippert; Christian Büchel
Journal:  Neuroimage       Date:  2011-09-22       Impact factor: 6.556

5.  Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters.

Authors:  C Triantafyllou; R D Hoge; G Krueger; C J Wiggins; A Potthast; G C Wiggins; L L Wald
Journal:  Neuroimage       Date:  2005-05-15       Impact factor: 6.556

6.  7 Tesla 22-channel wrap-around coil array for cervical spinal cord and brainstem imaging.

Authors:  Bei Zhang; Alan C Seifert; Joo-Won Kim; Joseph Borrello; Junqian Xu
Journal:  Magn Reson Med       Date:  2016-11-17       Impact factor: 4.668

Review 7.  Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project.

Authors:  An T Vu; Keith Jamison; Matthew F Glasser; Stephen M Smith; Timothy Coalson; Steen Moeller; Edward J Auerbach; Kamil Uğurbil; Essa Yacoub
Journal:  Neuroimage       Date:  2016-11-25       Impact factor: 6.556

8.  Impact of autocalibration method on accelerated EPI of the cervical spinal cord at 7 T.

Authors:  Alan C Seifert; Junqian Xu
Journal:  Magn Reson Med       Date:  2022-08-24       Impact factor: 3.737

Review 9.  The current state-of-the-art of spinal cord imaging: methods.

Authors:  P W Stroman; C Wheeler-Kingshott; M Bacon; J M Schwab; R Bosma; J Brooks; D Cadotte; T Carlstedt; O Ciccarelli; J Cohen-Adad; A Curt; N Evangelou; M G Fehlings; M Filippi; B J Kelley; S Kollias; A Mackay; C A Porro; S Smith; S M Strittmatter; P Summers; I Tracey
Journal:  Neuroimage       Date:  2013-05-14       Impact factor: 6.556

10.  An auto-calibrated, angularly continuous, two-dimensional GRAPPA kernel for propeller trajectories.

Authors:  Stefan Skare; Rexford D Newbould; Anders Nordell; Samantha J Holdsworth; Roland Bammer
Journal:  Magn Reson Med       Date:  2008-12       Impact factor: 4.668

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  1 in total

1.  Impact of autocalibration method on accelerated EPI of the cervical spinal cord at 7 T.

Authors:  Alan C Seifert; Junqian Xu
Journal:  Magn Reson Med       Date:  2022-08-24       Impact factor: 3.737

  1 in total

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