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Fast 3D brain MR fingerprinting based on multi-axis spiral projection trajectory
Xiaozhi Cao1, Huihui Ye1,2, Congyu Liao1
1Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, Zhejiang, China.
This study introduces a faster 3D magnetic resonance fingerprinting (MRF) method using multi-axis spiral projection imaging (maSPI) for whole-brain quantitative scans. The new technique significantly reduces scan time and improves motion robustness for high-resolution imaging.
Area of Science:
- Magnetic Resonance Imaging
- Quantitative Imaging
- Biomedical Engineering
Background:
- Magnetic Resonance Fingerprinting (MRF) is a powerful technique for quantitative tissue property mapping.
- Traditional 3D MRF methods can be time-consuming, limiting their clinical applicability for whole-brain scans.
Purpose of the Study:
- To develop a rapid, sub-millimeter resolution 3D MRF technique for whole-brain quantitative imaging.
- To enhance the speed and robustness of 3D MRF acquisitions.
Main Methods:
- Implemented a multi-axis spiral projection imaging (maSPI) acquisition trajectory for 3D MRF.
- Utilized steady-state precession and slab excitation with optimized spiral interleaves.
- Employed a sliding-window method to reduce necessary time points and accelerate acquisition, achieving up to an 8x speed increase over stack-of-spiral (SOS).
Main Results:
- Phantom measurements showed excellent agreement with gold standards (R² ≈ 0.99).
- In vivo whole-brain parametric maps were acquired with 1 mm and 0.8 mm isotropic resolution in 5.0 and 6.0 minutes, respectively.
- maSPI demonstrated superior robustness to head motion compared to SOS in dynamic in vivo experiments.
Conclusions:
- 3D MRF utilizing an maSPI acquisition scheme enables rapid and robust high-resolution parametric mapping of the whole brain.
- This technique has the potential for further acceleration, paving the way for more efficient quantitative MRI.
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