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Three-dimensional simultaneous T1 and T2* relaxation times and quantitative susceptibility mapping at 3 T: A
Shohei Fujita1, Akifumi Hagiwara2, Koichiro Kimura3
1Department of Radiology, Juntendo University, 1-2-1 Hongo, Bunkyo-ku, Tokyo 113-8421, Japan; Department of Radiology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.
Magnetic Resonance Imaging
|July 6, 2024
Summary
Quantitative parameter mapping (QPM) shows high intra-site repeatability for T1 (<12%) and T2* (<3.5%) relaxation times and quantitative susceptibility (<3.5 ppb). Cross-site reproducibility is also strong, supporting multisite studies.
Area of Science:
- Medical Imaging
- Neuroimaging
- Quantitative MRI
Background:
- Quantitative parameter mapping (QPM) offers advanced MRI analysis.
- Assessing the reliability of QPM across different sites is crucial for multicenter research.
- T1, T2*, and quantitative susceptibility (χ) are key MRI parameters.
Purpose of the Study:
- To evaluate the intra-site repeatability and cross-site reproducibility of QPM-derived T1, T2*, and χ values at 3 Tesla.
- To determine the reliability of QPM for multisite neuroimaging studies.
Main Methods:
- Prospective study involving 12 healthy volunteers across three 3T MRI scanners at different sites.
- Standardized QPM protocol used for brain scans.
- Voxel-wise and region-of-interest analyses employed to assess repeatability and reproducibility using wCV, wSD, linear regression, Bland-Altman plots, and ICC.
Main Results:
- High intra-site repeatability was observed: wCV <12% for T1, <3.5% for T2*, and wSD <3.5 ppb for χ.
- High intra-site consistency indicated by ICC values (0.878-0.976).
- Cross-site reproducibility showed wCV <14% for T1, <4% for T2*, and wSD <4.1 ppb for χ, with ICCs >0.707.
Conclusions:
- QPM provides reliable T1, T2*, and χ values with excellent intra-site repeatability and good cross-site reproducibility at 3T.
- These findings support the use of QPM in multisite clinical trials and research studies.
- QPM is a robust technique for quantitative neuroimaging across different MRI sites.

