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Evaluation of an integrated variable flip angle protocol to estimate coil B1 for hyperpolarized MRI
Kylie Yeung1,2,3, Kher Lik Ng3,4, Jordan J McGing1
1Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.
Magnetic Resonance in Medicine
|November 18, 2024
Summary
A new variable flip angle (VFA) method for B1 mapping in hyperpolarized MRI offers improved accuracy for signal quantification. This versatile technique effectively corrects for coil inhomogeneity in lung and brain imaging.
Area of Science:
- Magnetic Resonance Imaging
- Medical Physics
- Hyperpolarized Contrast Agents
Background:
- Accurate B1 mapping is crucial for quantitative hyperpolarized MRI.
- Current methods like constant flip angle (CFA) have limitations in accuracy and sensitivity.
- Signal variations due to coil inhomogeneity affect image quality and quantification.
Purpose of the Study:
- To validate a simple, versatile, and integrated variable flip angle (VFA) method for B1 mapping.
- To assess the VFA method's performance against the CFA approach.
- To enable correction of signal variations caused by coil inhomogeneity in hyperpolarized MRI.
Main Methods:
- Simulations were conducted to compare VFA and CFA B1 mapping methods.
- VFA sequences were designed based on simulation results.
- The VFA method was validated in human volunteers for hyperpolarized Xenon-129 (lungs) and Carbon-13 (brain) imaging.
- B1 maps were used to correct for transmit and receive inhomogeneity.
Main Results:
- Simulations demonstrated superior performance of VFA over CFA, with reduced T1 sensitivity.
- For Xenon-129 imaging, B1 maps reflected signal depolarization but could not always correct for receive inhomogeneity due to coil positioning.
- For Carbon-13 imaging, VFA B1 maps agreed well with phantom data and effectively corrected coil-induced signal inhomogeneity.
Conclusions:
- A simple, versatile, and effective VFA B1 mapping method has been successfully implemented and evaluated.
- Incorporating this VFA B1 mapping method enhances signal quantification robustness in hyperpolarized imaging studies.
- The method shows promise for improving quantitative accuracy in diverse hyperpolarized MRI applications.

