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Published on: February 19, 2021
Accelerating magnetic resonance fingerprinting (MRF) using t-blipped simultaneous multislice (SMS) acquisition
Huihui Ye1,2, Dan Ma3, Yun Jiang3
1Collaborative Innovation Center for Brain Science and the Key Laboratory for Biomedical Engineering of Education Ministry of China, Zhejiang University, Hangzhou, Zhejiang, China.
Simultaneous multislice (SMS) magnetic resonance fingerprinting (MRF) accelerates data acquisition. This validated t-blipped SMS-MRF method enables faster parameter mapping with high accuracy and precision.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Biomedical Engineering
- Medical Physics
Background:
- Magnetic Resonance Fingerprinting (MRF) enables quantitative tissue parameter mapping.
- Accelerating MRF acquisition is crucial for clinical applicability.
- Simultaneous Multislice (SMS) acquisition offers a potential solution for acceleration.
Purpose of the Study:
- To incorporate Simultaneous Multislice (SMS) acquisition into Magnetic Resonance Fingerprinting (MRF) to accelerate the acquisition process.
- To develop and validate a novel t-blipped SMS-MRF method.
Main Methods:
- The t-blipped SMS-MRF method was developed by introducing phase encoding in the slice direction via Gz blips.
- A combined slice-direction SENSE and dictionary matching approach was used for data reconstruction.
- Varying Gz blip parameters allowed for time-dependent differential phase encoding between slices.
Main Results:
- Monte Carlo simulations demonstrated good accuracy and precision for T1 (CCC=0.96) and T2 (CCC=0.90) estimates with multiband factor (MB)=2 t-blipped SMS-MRF.
- In vivo experiments showed high agreement between T1 and T2 maps generated by MB=2 t-blipped SMS-MRF and conventional MRF.
- The method successfully accelerated MRF acquisition without compromising parameter mapping quality.
Conclusions:
- The MB=2 t-blipped SMS-MRF acquisition and reconstruction method was successfully demonstrated and validated.
- This approach provides a significant acceleration in parameter mapping within the MRF framework.
- The validated method holds promise for more efficient quantitative MRI in clinical settings.
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