Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
605-02-002 ISMRM Abstract

Fast Reconstruction of Motion-Corrupted Data with Mobile-GRAPPA: Motion and dB0 Correction Leveraging Efficient GRAPPA

Accepted
Yimeng Lin1, Nan Wang 2, Daniel R Abraham1, Daniel M Polak3, Xiaozhi Cao2, Stephen Cauley3, Kawin Setsompop1,2
1Electrical Engineering, Stanford University, Stanford, United States of America
2Department of Radiology, Stanford University, Stanford, United States of America
3Siemens Medical Solutions USA, Inc., Malvern, United States of America
Presenting Author: Nan Wang

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Ulrich T, Riedel M, Pruessmann K P. Servo navigators: linear regression and feedback control for rigid‐body motion correction[J]. Magnetic Resonance in Medicine, 2024, 91(5): 1876-1892. https://doi.org/10.1002/mrm.29967 [doi]
2. Brackenier Y, Wang N, Liao C, et al. Rapid and accurate navigators for motion and B 0 tracking using QUEEN: Quantitatively enhanced parameter estimation from navigators[J]. Magnetic Resonance in Medicine, 2024, 91(5): 2028-2043. https://doi.org/10.1002/mrm.29976 [doi]
3. Polak D, Splitthoff D N, Clifford B, et al. Scout accelerated motion estimation and reduction (SAMER)[J]. Magnetic resonance in medicine, 2022, 87(1): 163-178. https://doi.org/10.1002/mrm.28971 [doi]
4. Wang N, Brackenier Y, Nurdinova A, et al. Scout-based Multi-Echo NAvigating (SMENA) for high temporal resolution motion and B0 estimation: applications to EPTI and multi-echo GRE[J].
5. Liu J, de Zwart J A, van Gelderen P, et al. Effect of head motion on MRI B 0 field distribution[J]. Magnetic resonance in medicine, 2018, 80(6): 2538-2548. https://doi.org/10.1002/mrm.27339 [doi]
6. Cordero-Grande L, Teixeira R P A G, Hughes E J, et al. Sensitivity encoding for aligned multishot magnetic resonance reconstruction[J]. IEEE Transactions on Computational Imaging, 2016, 2(3): 266-280. doi: 10.1109/TCI.2016.2557069 [doi]
7. Wang F, Dong Z, Reese T G, et al. Echo planar time‐resolved imaging (EPTI)[J]. Magnetic resonance in medicine, 2019, 81(6): 3599-3615. https://doi.org/10.1002/mrm.27673 [doi]
8. Dong Z, Wang F, Reese T G, et al. Echo planar time‐resolved imaging with subspace reconstruction and optimized spatiotemporal encoding[J]. Magnetic resonance in medicine, 2020, 84(5): 2442-2455. https://doi.org/10.1002/mrm.28295 [doi]
9. Bammer R, Aksoy M, Liu C. Augmented generalized SENSE reconstruction to correct for rigid body motion[J]. Magnetic Resonance in Medicine, 2007, 57(1): 90-102. https://doi.org/10.1002/mrm.21106 [doi]
10. Yarach U, Luengviriya C, Stucht D, et al. Correction of B0-induced geometric distortion variations in prospective motion correction for 7T MRI[J]. Magnetic Resonance Materials in Physics, Biology and Medicine, 2016, 29(3): 319-332. https://doi.org/10.1007/s10334-015-0515-2 [doi]
11. Lin Y, Abraham D, Wang N, et al. Fast and accurate motion-corrected reconstruction with motion-correcting Implicit GROG (motion-iGROG)[J].
12. Abraham D, Nishimura M, Cao X, et al. Implicit Representation of GRAPPA Kernels for Fast MRI Reconstruction[J]. arXiv preprint arXiv:2310.10823, 2023.
13. Stockmann J P, Wald L L. In vivo B0 field shimming methods for MRI at 7 T[J]. Neuroimage, 2018, 168: 71-87. https://doi.org/10.1016/j.neuroimage.2017.06.013 [doi]
14. McQueen J B. Some methods of classification and analysis of multivariate observations[C]//Proc. of 5th Berkeley Symposium on Math. Stat. and Prob. 1967: 281-297.
15. Arthur D, Vassilvitskii S. k-means++: The advantages of careful seeding[R]. Stanford, 2006.

Cite this abstract