Abstract
Purpose: To obtain three-dimensional (3D), quantitative and motion-robust imaging with magnetic resonance fingerprinting (MRF). Methods: Our acquisition is based on a 3D spiral projection k-space scheme. We compared different orderings of trajectory interleaves in terms of rigid motion-correction robustness. In all tested orderings, we considered the whole dataset as a sum of 56 segments of 7-s duration, acquired sequentially with the same flip angle schedule. We performed a separate image reconstruction for each segment, producing whole-brain navigators that were aligned to the first segment using normalized correlation. The estimated rigid motion was used to correct the k-space data, and the aligned data were matched with the dictionary to obtain motion-corrected maps. Results: A significant improvement on the motion-affected maps after motion correction is evident with the suppression of motion artifacts. Correlation with the motionless baseline improved by 20% on average for both T1 and T2 estimations after motion correction. In addition, the average motion-induced quantification bias of 70 ms for T1 and 18 ms for T2 values was reduced to 12 ms and 6 ms, respectively, improving the reliability of quantitative estimations. Conclusion: We established a method that allows correcting 3D rigid motion on a 7-s timescale during the reconstruction of MRF data using self-navigators, improving the image quality and the quantification robustness. © 2020 International Society for Magnetic Resonance in Medicine
Original language | English |
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Pages (from-to) | 2606-2615 |
Number of pages | 10 |
Journal | Magn. Reson. Med. |
Volume | 84 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2020 |
Keywords
- 3D motion correction
- MR fingerprinting
- Image enhancement
- Image reconstruction
- Image segmentation
- Magnetic resonance
- Magnetorheological fluids
- 3D rigid motion
- Motion artifact
- Motion correction
- Normalized correlation
- Quantification bias
- Quantitative estimation
- Rigid motions
- Threedimensional (3-d)
- Motion estimation
- artifact
- brain
- human
- image quality
- image reconstruction
- motion
- note
- nuclear magnetic resonance
- reliability
- article