Field camera versus phantom-based measurement of the gradient system transfer function (GSTF) with dwell time compensation.
Dwell time compensation
Field camera
Gradient impulse response function
Gradient system transfer function
Trajectory correction
Wave Wave-CAIPI imaging
Journal
Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
05
12
2019
revised:
05
06
2020
accepted:
09
06
2020
pubmed:
14
6
2020
medline:
30
1
2021
entrez:
14
6
2020
Statut:
ppublish
Résumé
The gradient system transfer function (GSTF) can be used to describe the dynamic gradient system and applied for trajectory correction in non-Cartesian MRI. This study compares the field camera and the phantom-based methods to measure the GSTF and implements a compensation for the difference in measurement dwell time. The self-term GSTFs of a MR system were determined with two approaches: 1) using a dynamic field camera and 2) using a spherical phantom-based measurement with standard MR hardware. The phantom-based GSTF was convolved with a box function to compensate for the dwell time dependence of the measurement. The field camera and phantom-based GSTFs were used for trajectory prediction during retrospective image reconstruction of 3D wave-CAIPI phantom images. Differences in the GSTF magnitude response were observed between the two measurement methods. For the wave-CAIPI sequence, this led to deviations in the GSTF predicted trajectories of 4% compared to measured trajectories, and residual distortions in the reconstructed phantom images generated with the phantom-based GSTF. Following dwell-time compensation, deviations in the GSTF magnitudes, GSTF-predicted trajectories, and resulting image artifacts were eliminated (< 0.5% deviation in trajectories). With dwell time compensation, both the field camera and the phantom-based GSTF self-terms show negligible deviations and lead to strong artifact reduction when they are used for trajectory correction in image reconstruction.
Identifiants
pubmed: 32534067
pii: S0730-725X(19)30734-9
doi: 10.1016/j.mri.2020.06.005
pmc: PMC7654095
mid: NIHMS1606287
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Intramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
125-131Subventions
Organisme : Intramural NIH HHS
ID : ZIA HL006214
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
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