Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
368-01-010 ISMRM Abstract

Concurrent Slice-Level Motion Monitoring and Volume-Level Prospective Motion Correction in Functional MRI

Primary: Acquisition & Reconstruction - Motion Correction: Neuro
Secondary: Analysis Methods - Image Registration and Alignment
368-01-010 · Registration, Atlases, and Motion · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row I
Keywords: Image registration Functional magnetic resonance imaging Prospective Motion Correction Motion Tracking Slice-to-volume alignment
Accepted
Joshua D Auger 1, Musa Tunc Arslan1, Hongli Fan2,3, Simon K Warfield4
1Radiology, Boston Children's Hospital and Harvard Medical School, Boston, United States of America
2Siemens Medical Solutions USA, Inc., Malvern, United States of America
3Siemens Medical Solutions, Boston, United States of America
4Boston Children's Hospital, Boston, United States of America
Presenting Author: Joshua D Auger

Synopsis

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References

1. Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. J., & Turner, R. (1996). Movement-related effects in fMRI time-series. Magnetic Resonance in Medicine, 35(3), 346–355. https://doi.org/10.1002/MRM.1910350312 [doi]
2. Dosenbach, N. U. F., Koller, J. M., Earl, E. A., Miranda-Dominguez, O., Klein, R. L., Van, A. N., Snyder, A. Z., Nagel, B. J., Nigg, J. T., Nguyen, A. L., Wesevich, V., Greene, D. J., & Fair, D. A. (2017). Real-time motion analytics during brain MRI improve data quality and reduce costs. NeuroImage, 161, 80–93. https://doi.org/10.1016/j.neuroimage.2017.08.025 [doi]
3. Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage, 59(3), 2142–2154. https://doi.org/10.1016/j.neuroimage.2011.10.018 [doi]
4. Schulz, J., Siegert, T., Bazin, P. L., Maclaren, J., Herbst, M., Zaitsev, M., & Turner, R. (2014). Prospective slice-by-slice motion correction reduces false positive activations in fMRI with task-correlated motion. NeuroImage, 84, 124–132. https://doi.org/10.1016/J.NEUROIMAGE.2013.08.006 [doi]
5. Zaitsev, M., Dold, C., Sakas, G., Hennig, J., & Speck, O. (2006). Magnetic resonance imaging of freely moving objects: prospective real-time motion correction using an external optical motion tracking system. NeuroImage, 31(3), 1038–1050. https://doi.org/10.1016/j.neuroimage.2006.01.039 [doi]
6. Maclaren, J., Armstrong, B. S. R., Barrows, R. T., Danishad, K. A., Ernst, T., Foster, C. L., Gumus, K., Herbst, M., Kadashevich, I. Y., Kusik, T. P., Li, Q., Lovell-Smith, C., Prieto, T., Schulze, P., Speck, O., Stucht, D., & Zaitsev, M. (2012). Measurement and Correction of Microscopic Head Motion during Magnetic Resonance Imaging of the Brain. PloS ONE, 7(11). https://doi.org/10.1371/journal.pone.0048088 [doi]
7. Zaitsev, M., Akin, B., LeVan, P., & Knowles, B. R. (2017). Prospective motion correction in functional MRI. NeuroImage, 154, 33–42. https://doi.org/10.1016/J.NEUROIMAGE.2016.11.014 [doi]
8. Hoinkiss, D. C., Erhard, P., Breutigam, N. J., von Samson-Himmelstjerna, F., Günther, M., & Porter, D. A. (2019). Prospective motion correction in functional MRI using simultaneous multislice imaging and multislice-to-volume image registration. NeuroImage, 200, 159–173. https://doi.org/10.1016/J.NEUROIMAGE.2019.06.042 [doi]
9. Bhagalia, R., & Kim, B. (2008). Spin saturation artifact correction using slice-to-volume registration motion estimates for fMRI time series. Medical Physics, 35(2), 424–434. https://doi.org/10.1118/1.2826555 [doi]
10. Beall, E. B., & Lowe, M. J. (2014). SimPACE: Generating simulated motion corrupted BOLD data with synthetic-navigated acquisition for the development and evaluation of SLOMOCO: A new, highly effective slicewise motion correction. NeuroImage, 101, 21–34. https://doi.org/10.1016/j.neuroimage.2014.06.038 [doi]
11. Marami, B., Scherrer, B., Afacan, O., Erem, B., Warfield, S. K., & Gholipour, A. (2016). Motion-Robust Diffusion-Weighted Brain MRI Reconstruction Through Slice-Level Registration-Based Motion Tracking. IEEE Transactions on Medical Imaging, 35(10), 2258–2269. https://doi.org/10.1109/TMI.2016.2555244 [doi]
12. Sui, Y., Afacan, O., Gholipour, A., & Warfield, S. K. (2020). SLIMM: Slice localization integrated MRI monitoring. NeuroImage, 223, 117280. https://doi.org/10.1016/j.neuroimage.2020.117280 [doi]
13. Tustison, N. J., Avants, B. B., Cook, P. A., Zheng, Y., Egan, A., Yushkevich, P. A., & Gee, J. C. (2010). N4ITK: Improved N3 bias correction. IEEE Transactions on Medical Imaging, 29(6), 1310–1320. https://doi.org/10.1109/TMI.2010.2046908 [doi]
14. Dohmen, M., Klemens, M. A., Baltruschat, I. M., Truong, T., & Lenga, M. (2025). Similarity and quality metrics for MR image-to-image translation. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-87358-0 [doi]
15. Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014). Methods to detect, characterize, and remove motion artifact in resting state fMRI. NeuroImage, 84, 320–341. https://doi.org/10.1016/j.neuroimage.2013.08.048 [doi]
16. Power, J. D. (2017). A simple but useful way to assess fMRI scan qualities. NeuroImage, 154, 150–158. https://doi.org/10.1016/j.neuroimage.2016.08.009 [doi]
17. Ward, H. A., Riederer, S. J., & Jack, C. R. (2002). Real-time autoshimming for echo planar timecourse imaging. Magnetic Resonance in Medicine, 48(5), 771–780. https://doi.org/10.1002/mrm.10259 [doi]
18. Wallace, T. E., Afacan, O., Kober, T., & Warfield, S. K. (2020). Rapid measurement and correction of spatiotemporal B0 field changes using FID navigators and a multi-channel reference image. Magnetic Resonance in Medicine, 83(2), 575–589. https://doi.org/10.1002/mrm.27957 [doi]
19. Wallace, T. E., Kober, T., Stockmann, J. P., Polimeni, J. R., Warfield, S. K., & Afacan, O. (2022). Real-time shimming with FID navigators. Magnetic Resonance in Medicine, 88(6), 2548–2563. https://doi.org/10.1002/mrm.29421 [doi]
20. Marami, B., Scherrer, B., Khan, S., Afacan, O., Prabhu, S. P., Sahin, M., Warfield, S. K., & Gholipour, A. (2019). Motion-robust diffusion compartment imaging using simultaneous multi-slice acquisition. Magnetic Resonance in Medicine, 81(5), 3314–3329. https://doi.org/10.1002/mrm.27613 [doi]

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http://echo.ismrm.org/p/ISMRM2026/368-01-010