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Effects of T2 * on accuracy and precision of dynamic T1 measurements using the single reference variable flip angle
Michael A Malmberg1,2, Henrik Odéen2, Dennis L Parker2
1Department of Bioengineering, University of Utah, Salt Lake City, Utah, USA.
Medical Physics
|January 23, 2022
Summary
Dynamic T1 measurements using single-reference variable flip angle (SR-VFA) techniques are prone to bias from T2* changes. A new SR-VFA with T2* correction (SR-VFA-T2*) method improves accuracy and precision, rivaling traditional VFA methods.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Quantitative MRI
- Biomedical Engineering
Background:
- Accurate T1 quantification is crucial for various MRI applications.
- Dynamic T1 measurements are sensitive to confounding factors like T2* variations.
- Existing single-reference variable flip angle (SR-VFA) methods can introduce bias.
Purpose of the Study:
- To evaluate the accuracy and precision of dynamic T1 measurements using SR-VFA.
- To investigate the impact of dynamic T2* changes on SR-VFA T1 calculations.
- To develop and validate a corrected SR-VFA method (SR-VFA-T2*) for improved T1 mapping.
Main Methods:
- Monte Carlo simulations (1000 iterations) were performed for VFA, SR-VFA, and SR-VFA-T2* methods.
- Analytical calculations modeled signals using the steady-state spoiled gradient echo equation.
- Parameters varied included repetition time (TR), T1, T2*, flip angles, and echo time (TE).
Main Results:
- SR-VFA method exhibited significant bias (approx. 1% for 0.01 T2* deviation) due to dynamic T2* changes.
- SR-VFA-T2* method, using multiecho measurements for T2* correction, demonstrated comparable or superior bias and precision to VFA.
- An analytical variance equation for SR-VFA-T2* accurately predicted simulation results, enabling inverse-variance weighted T1 mapping.
Conclusions:
- Multiecho SR-VFA-T2* T1 mapping offers a promising alternative to conventional VFA methods.
- This technique maintains the speed of SR-VFA while achieving accuracy and precision similar to VFA.
- The SR-VFA-T2* method effectively corrects for dynamic T2* variations, enhancing T1 quantification reliability.
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