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Rigid motion-corrected magnetic resonance fingerprinting.
Gastão Cruz1, Olivier Jaubert1, Torben Schneider2
1King's College London, School of Biomedical Engineering and Imaging Sciences, London, United Kingdom.
Magnetic Resonance in Medicine
|September 20, 2018
Summary
A new method, motion correction-magnetic resonance fingerprinting (MC-MRF), corrects rigid body motion during MRI scans. MC-MRF improves image quality and accuracy for T1 and T2 mapping, especially with in-plane motion.
Area of Science:
- Magnetic Resonance Imaging
- Biomedical Engineering
- Medical Physics
Background:
- Magnetic Resonance Fingerprinting (MRF) offers robust T1/T2 mapping but can be affected by motion.
- Understanding motion's impact on MRF is crucial for accurate quantitative imaging.
Purpose of the Study:
- To develop and validate a novel method for correcting rigid body motion during MRF acquisition.
- To assess the impact of different motion types on MRF-based parametric mapping.
Main Methods:
- A 4-step approach: sliding window reconstruction for dynamic images, motion estimation via image registration, k-space data correction, and low-rank inversion reconstruction.
- Validation using a T1/T2 phantom and 2D in vivo brain MRI in healthy subjects.
Main Results:
- Motion introduces artifacts in T1 and T2 maps, with effects varying based on motion timing.
- MC-MRF significantly improved parametric map quality for in-plane motion, matching no-motion results.
- Through-plane motion led to reduced map quality, particularly for T2 values in smaller structures, even after correction.
Conclusions:
- The proposed MC-MRF method enhances parametric map quality and accuracy compared to uncorrected MRF.
- Future work will focus on 3D MC-MRF to address through-plane motion correction.
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