Establishing intra- and inter-vendor reproducibility of T<sub>1</sub> relaxation time measurements with 3T MRI.

Details

Serval ID
serval:BIB_4A44550F3EDF
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Establishing intra- and inter-vendor reproducibility of T<sub>1</sub> relaxation time measurements with 3T MRI.
Journal
Magnetic resonance in medicine
Author(s)
Lee Y., Callaghan M.F., Acosta-Cabronero J., Lutti A., Nagy Z.
ISSN
1522-2594 (Electronic)
ISSN-L
0740-3194
Publication state
Published
Issued date
01/2019
Peer-reviewed
Oui
Volume
81
Number
1
Pages
454-465
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Parametric imaging methods (e.g., T <sub>1</sub> relaxation time mapping) have been shown to be more reproducible across time and vendors than weighted (e.g., T <sub>1</sub> -weighted) images. The purpose of this work was to more extensively evaluate the validity of this assertion.
Seven volunteers underwent twice-repeated acquisitions of variable flip-angle T <sub>1</sub> mapping, including B <sub>1</sub> <sup>+</sup> calibration, on a 3T Philips Achieva and 3T Siemens Trio scanner. Intra-scanner and inter-vendor T <sub>1</sub> variability were calculated. To determine T <sub>1</sub> reproducibility levels in longitudinal settings, or after changing hardware or software, four additional data sets were acquired from two of the participants; one participant was scanned on a different 3T Siemens Trio scanner and another on the same 3T Philips Achieva scanner but after a software upgrade.
Intra-scanner variability of voxel-wise T <sub>1</sub> values was consistent between the two vendors, averaging 0.7/0.7/1.3/1.4% in white matter/cortical gray matter/subcortical gray matter/cerebellum, respectively. We observed, however, a systematic bias between the two vendors of https://doi.org/10.0/7.8/8.6/10.0%, respectively. The T <sub>1</sub> bias across two scanners of the same model was greater than intra-scanner variability, although still only at 1.4/1.0/1.9/2.3%, respectively. A greater bias was identified for data sets acquired before/after software upgrade in white matter/cortical gray matter (3.6/2.7%) whereas variability in subcortical gray matter/cerebellum was comparable (1.7/1.9%).
We established intra- and inter-vendor reproducibility levels for a widely used T <sub>1</sub> mapping protocol. We anticipate that these results will guide the design of multi-center studies, particularly those encompassing multiple vendors. Furthermore, this baseline level of reproducibility should be established or surpassed during the piloting phase of such studies.
Keywords
Adult, Algorithms, Brain/diagnostic imaging, Calibration, Cerebellum/diagnostic imaging, Female, Gray Matter/diagnostic imaging, Healthy Volunteers, Humans, Image Processing, Computer-Assisted/methods, Magnetic Resonance Imaging/instrumentation, Magnetic Resonance Imaging/standards, Male, Pattern Recognition, Automated, Reproducibility of Results, Software, White Matter/diagnostic imaging, 3T, T1 relaxation, bias, multi-vendor, parametric imaging, reproducibility
Pubmed
Web of science
Open Access
Yes
Create date
03/09/2018 12:00
Last modification date
04/01/2020 6:17
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