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Dual flip angle liver T1 mapping with B1 correction at 3 T - In vitro and in vivo evaluation
Kim Sivesgaard1, Rozh Al-Mashhadi1, Thomas Winther Buus2
1Department of Radiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark; Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark.
Magnetic Resonance Imaging
|August 3, 2025
Summary
Dual flip angle (DFA) T1 mapping shows excellent linearity for liver imaging, with larger regions of interest (ROIs) improving accuracy and reader agreement in vivo. This technique offers precise liver T1 measurements.
Area of Science:
- Radiology and Medical Imaging
- Quantitative MRI
- Hepatobiliary Imaging
Background:
- Accurate T1 mapping is crucial for liver disease assessment.
- Dual flip angle (DFA) T1 mapping offers a rapid approach for quantitative MRI.
- Optimizing region of interest (ROI) selection is key for reliable in vivo measurements.
Purpose of the Study:
- To evaluate the in vitro precision and linearity of 3D whole-liver dual flip angle (DFA) T1 mapping.
- To compare various circular ROI sampling strategies for in vivo liver T1 measurements.
Main Methods:
- 3D steady-state spoiled gradient echo with DFA was used at 3T.
- In vitro validation against inversion recovery turbo spin echo (IRTSE) reference T1 values.
- In vivo study in 30 patients, assessing manual segmentation and 4 ROI strategies for inter-reader agreement.
Main Results:
- In vitro DFA T1 measurements demonstrated strong linearity (R²=0.9912) with a 16.33% overestimation versus IRTSE.
- In vivo, larger ROI areas improved inter-reader agreement (R² increased to 0.9601) and agreement with manual segmentation.
- Increasing ROI size consistently enhanced accuracy and reduced variability for both readers.
Conclusions:
- DFA T1 mapping provides a highly linear and accurate method for liver T1 quantification.
- Larger ROI selection in vivo significantly improves measurement reliability and consistency.
- DFA T1 mapping is a promising technique for quantitative liver MRI.

