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Fully-modelled blood-focused variable inversion times for 3D late gadolinium-enhanced imaging

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Title: Fully-modelled blood-focused variable inversion times for 3D late gadolinium-enhanced imaging
Authors: Allen, JJ
Keegan, J
Mathew, G
Conway, M
Jenkins, S
Pennell, DJ
Nielles-Vallespin, S
Gatehouse, P
Babu-Narayan, SV
Item Type: Journal Article
Abstract: Purpose Variable heart rate during single-cycle inversion-recovery Late Gadolinium-Enhanced (LGE) scanning degrades image quality, which can be mitigated using Variable Inversion Times (VTIs) in real-time response to R-R interval changes. We investigate in vivo and in simulations an extension of a single-cycle VTI method previously applied in 3D LGE imaging, that now fully models the longitudinal magnetisation (fmVTI). Methods The VTI and fmVTI methods were used to perform 3D LGE scans for 28 3D LGE patients, with qualitative image quality scores assigned for left atrial wall clarity and total ghosting. Accompanying simulations of numerical phantom images were assessed in terms of ghosting of normal myocardium, blood, and myocardial scar. Results The numerical simulations for fmVTI showed a significant decrease in blood ghosting (VTI: 410 ± 710, fmVTI: 68 ± 40, p < 0.0005) and scar ghosting (VTI: 830 ± 1300, fmVTI: 510 ± 730, p < 0.02). Despite this, there was no significant change in qualitative image quality scores, either for left atrial wall clarity (VTI: 2.0 ± 1.0, fmVTI: 1.8 ± 1.0, p > 0.1) or for total ghosting (VTI: 1.9 ± 1.0, fmVTI: 2.0 ± 1.0, p > 0.7). Conclusions Simulations indicated reduced ghosting with the fmVTI method, due to reduced Mz variability in the blood signal. However, other sources of phase-encode ghosting and blurring appeared to dominate and obscure this finding in the patient studies available.
Issue Date: May-2023
Date of Acceptance: 23-Dec-2022
URI: http://hdl.handle.net/10044/1/102637
DOI: 10.1016/j.mri.2022.12.014
ISSN: 0730-725X
Publisher: Elsevier
Start Page: 44
End Page: 54
Journal / Book Title: Magnetic Resonance Imaging
Volume: 98
Copyright Statement: © 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Publication Status: Published
Online Publication Date: 2022-12-26
Appears in Collections:National Heart and Lung Institute
Faculty of Medicine

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