Related Experiment Video
Updated: May 29, 2025

06:09
Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
Published on: July 21, 2023
1.1K
Accurate and precise in vivo liver 3D T1 mapping at 3T
Gabriela Belsley1, Ferenc E Mózes1, Damian J Tyler1
1Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Magnetic Resonance in Medicine
|February 4, 2025
Summary
This study presents a new 3D liver T1 mapping method for accurate and precise measurements. This technique can help establish T1 mapping as a clinical marker for liver fibro-inflammation.
Area of Science:
- Medical Imaging
- Quantitative MRI
- Hepatology
Background:
- Clinical MRI scanners commonly use spoiled gradient-recalled echo sequences.
- Existing T1 mapping methods using these sequences can yield biased T1 estimates, particularly due to B1 inhomogeneities.
- Fat content in the liver can also confound T1 and T2 measurements.
Purpose of the Study:
- To develop a precise and accurate 3D liver T1 mapping technique.
- To create a scanner-agnostic method utilizing widely available MRI sequences.
- To establish a clinically feasible T1 measurement for hepatic fibro-inflammation assessment.
Main Methods:
- Developed a 3D T1 mapping method correcting for B1 inhomogeneities using a 2D gradient-echo double-angle approach.
- Integrated Dixon and fat saturation techniques to mitigate confounding effects of liver fat on T1 and T2 measurements.
- Validated the T1 and T2 mapping methods against gold standards using a phantom and conducted intra-/inter-repeatability studies in 10 healthy individuals at 3T.
Main Results:
- The 3D T1 mapping method demonstrated excellent agreement with gold standards, with a weighted root mean squared normalized error below 2.8%.
- In vivo, median T1 standard deviation was 31 ms (interquartile range [27, 39] ms), with a within-subject standard deviation of 21 ± 5 ms and a repeatability coefficient of 60 ms.
- Measured T1 values showed good agreement with MOLLI and SASHA T1 mapping methods, with average differences of 5%.
Conclusions:
- Accurate and precise 3D liver T1 measurements are achievable with the developed method.
- This technique offers a clinically feasible approach for T1 measurement.
- Wider adoption of T1 mapping as a marker for hepatic fibro-inflammation is facilitated by this advancement.

