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Updated: Jun 12, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
Magnetization transfer explains most of the T 1 variability in the MRI literature
Jakob Assländer1,2, Sebastian Flassbeck1,2
1Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, NY, USA.
Purpose:
To identify the predominant source of the T 1 variability described in the literature, which ranges from 0.6-1.1 s for brain white matter at 3 T.
Methods:
25 T 1-mapping methods from the literature were simulated with a mono-exponential and various magnetization-transfer (MT) models, each followed by mono-exponential fitting. A single set of model parameters was assumed for the simulation of all methods, and these parameters were estimated by fitting the simulation-based to the corresponding literature T 1 values of white matter at 3 T. We acquired in vivo data with a quantitative magnetization transfer and three T 1-mapping techniques. The former was used to synthesize MR images that correspond to the three T 1-mapping methods. A mono-exponential model was fitted to the experimental and corresponding synthesized MR images.
Results:
Mono-exponential simulations suggest good inter-method reproducibility and fail to explain the highly variable T 1 estimates in the literature. In contrast, MT simulations suggest that a mono-exponential fit results in a variable T 1 and explain up to 62% of the literature's variability. In our own in vivo experiments, MT explains 70% of the observed variability.
Conclusion:
The results suggest that a mono-exponential model does not adequately describe longitudinal relaxation in biological tissue. Therefore, T 1 in biological tissue should be considered only a semi-quantitative metric that is inherently contingent upon the imaging methodology; and comparisons between different T 1-mapping methods and the use of simplistic spin systems-such as doped-water phantoms-for validation should be viewed with caution.
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