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On the accuracy of T1 mapping: searching for common ground. | LitMetric

On the accuracy of T1 mapping: searching for common ground.

Magn Reson Med

McConnel Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Canada.

Published: February 2015

AI Article Synopsis

  • The study focuses on the variations in T1 mapping methods used in quantitative MRI, highlighting inconsistencies in reported T1 values for white matter at 3 Tesla, which can range from 690 to 1100 ms.
  • Through simulations and brain imaging of 10 healthy subjects, the researchers compared three T1 mapping methods (inversion recovery, Look-Locker, variable flip angle) and found that while methods match in phantoms, they show poor agreement in living subjects, with significant discrepancies in T1 values.
  • The authors recommend in vivo validation of T1 mapping methods against the inversion recovery technique to enhance measurement accuracy, as inconsistencies may stem from incomplete spoiling and inaccurate B1 mapping.

Article Abstract

Purpose: There are many T1 mapping methods available, each of them validated in phantoms and reporting excellent agreement with literature. However, values in literature vary greatly, with T1 in white matter ranging from 690 to 1100 ms at 3 Tesla. This brings into question the accuracy of one of the most fundamental measurements in quantitative MRI. Our goal was to explain these variations and look into ways of mitigating them.

Theory And Methods: We evaluated the three most common T1 mapping methods (inversion recovery, Look-Locker, and variable flip angle) through Bloch simulations, a white matter phantom and the brains of 10 healthy subjects (single-slice). We pooled the T1 histograms of the subjects to determine whether there is a sequence-dependent bias and whether it is reproducible across subjects.

Results: We found good agreement between the three methods in phantoms, but poor agreement in vivo, with the white matter T1 histogram peak in healthy subjects varying by more than 30% depending on the method used. We also found that the pooled brain histograms displayed three distinct white matter peaks, with Look-Locker consistently underestimating, and variable flip angle overestimating the inversion recovery T1 values. The Bloch simulations indicated that incomplete spoiling and inaccurate B1 mapping could account for the observed differences.

Conclusion: We conclude that the three most common T1 mapping protocols produce stable T1 values in phantoms, but not in vivo. To improve the accuracy of T1 mapping, we recommend that sites perform in vivo validation of their T1 mapping method against the inversion recovery reference method, as the first step toward developing a robust calibration scheme.

Download full-text PDF

Source
http://dx.doi.org/10.1002/mrm.25135DOI Listing

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