Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
560-01-004 ISMRM Abstract

Spatiotemporal Scout-based Multi-Echo NAvigator (st-SMENA) for accurate and continuous motion and δB0 tracking

Primary: Acquisition & Reconstruction - Motion Correction: Neuro
Secondary: Acquisition & Reconstruction - Signal Modeling
560-01-004 · New Developments in QSM I · Wednesday, 13 May, 8:20 AM–9:15 AM · Digital Posters Row A
Keywords: Navigators Motion Tracking B0 susceptibility Spatiotemporal encoding
Accepted
Nan Wang 1, Yimeng Lin2, Daniel M Polak3, Xiaozhi Cao1,2, Yonatan Urman2, Aizada Nurdinova1,4, Mengze Gao1,5, Daniel R Abraham1,2, Zachary Shah2, Congyu Liao6, Stephen Cauley3, Kawin Setsompop1,2
1Department of Radiology, Stanford University, Stanford, United States of America
2Electrical Engineering, Stanford University, Stanford, United States of America
3Siemens Medical Solutions USA, Inc., Malvern, United States of America
4Vista AI, Inc., Palo Alto, United States of America
5Biomedical Physics, Stanford University, Stanford, United States of America
6Department of Radiology and Biomedical Imaging, University Of California, San Francisco (UCSF), United States of America
Presenting Author: Nan Wang

Synopsis

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References

1. Zaitsev M, Maclaren J, Herbst M. Motion artifacts in MRI: a complex problem with many partial solutions. J Magn Reson Imaging. 2015;42:887-901. DOI: 10.1002/jmri.24850 [doi]
2. Liu J, van Gelderen, P., de Zwart, J. A., & Duyn, J. H et al. "Reducing motion sensitivity in 3D high-resolution T2*-weighted MRI by navigator-based motion and nonlinear magnetic field correction." Neuroimage 206 (2020): 116332. https://doi.org/10.1016/j.neuroimage.2019.116332 [doi]
3. Godenschweger F, Kägebein U, Stucht D, et al. Motion correction in MRI of the brain. Phys Med Biol. 2016;61:R32-R56. DOI: 10.1088/0031-9155/61/5/R32 [doi]
4. Brackenier, Y. et al. Data‐driven motion‐corrected brain MRI incorporating pose‐dependent B0 fields. Magn Reson Med 88, 817–831 (2022). DOI: 10.1002/mrm.29255 [doi]
5. Versluis, M. J. et al. Origin and reduction of motion and f0 artifacts in high resolution T2*-weighted magnetic resonance imaging: application in Alzheimer’s disease patients. Neuroimage 51, 1082–1088 (2010). DOI: 10.1016/j.neuroimage.2010.03.048 [doi]
6. Wen, J., Cross, A. H. & Yablonskiy, D. A. On the role of physiological fluctuations in quantitative gradient echo MRI: implications for GEPCI, QSM, and SWI. Magn Reson Med 73, 195–203 (2015). DOI: 10.1002/mrm.25114 [doi]
7. Wang N, Brackenier Y, Nurdinova A, Zhou Z, Abraham D, Lin Y, Cao X, Liao C, Setsompop K. “Scout-based Multi-Echo NAvigator (SMENA) for low-latency motion and B0 estimation and correction: applications to EPTI and multi-echo GRE”. ISMRM 2025
8. Ulrich T, Riedel M, and Pruessmann KP. "Servo navigators: linear regression and feedback control for rigid‐body motion correction." Magn Reson Med 91.5 (2024): 1876-1892. DOI: 10.1002/mrm.29967 [doi]
9. Riedel M, Ulrich T, and Pruessmann KP. "Run‐time motion and first‐order shim control by expanded servo navigation." Magn Reson Med 93.1 (2025): 166-182. DOI: 10.1002/mrm.30262 [doi]

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http://echo.ismrm.org/p/ISMRM2026/560-01-004