期刊
MAGNETIC RESONANCE IN MEDICINE
卷 81, 期 1, 页码 454-465出版社
WILEY
DOI: 10.1002/mrm.27421
关键词
3T; bias; multi-vendor; parametric imaging; reproducibility; T-1 relaxation
资金
- Swiss National Science Foundation [31003A_166118]
- MRC and Spinal Research Charity ERA-NET Neuron [MR/R000050/1]
- Wellcome Trust [203147/Z/16/Z]
- Roger De Spoelberch Foundation
- Swiss National Science Foundation (SNF) [31003A_166118] Funding Source: Swiss National Science Foundation (SNF)
- MRC [MR/R000050/1] Funding Source: UKRI
Purpose: Parametric imaging methods (e.g., T-1 relaxation time mapping) have been shown to be more reproducible across time and vendors than weighted (e.g., T-1-weighted) images. The purpose of this work was to more extensively evaluate the validity of this assertion. Methods: Seven volunteers underwent twice-repeated acquisitions of variable flipangle T-1 mapping, including B1(+) calibration, on a 3T Philips Achieva and 3T Siemens Trio scanner. Intra-scanner and inter-vendor T-1 variability were calculated. To determine T-1 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. Results: Intra-scanner variability of voxel-wise T-1 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 10.0/7.8/8.6/10.0%, respectively. The T-1 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%). Conclusion: We established intra-and inter-vendor reproducibility levels for a widely used T-1 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.
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