Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
302-03-005 ISMRM Abstract

Prospective Head-Motion Correction Improves the Quality of Anatomical Brain MRI in Naturally Sleeping Infants

Primary: Acquisition & Reconstruction - Motion Correction: Neuro
Secondary: Pediatrics - Neonatal
302-03-005 · Next-Level Pediatric MRI: Technical Advances To Image Children Better · Monday, 11 May, 1:50 PM–3:40 PM · Hall 1B
Keywords: Brain Motion Correction Neonatal MRI Morphometrics
Accepted
Zakaria Zariry1,2, Nathalie Richard1,2, Robert Frost3,4, Sara Cabet5, Franck Lamberton6,7, Andre J van der Kouwe3,4, Pierre-Aurelien BEURIAT1,2,5, Marine Gautier-Martins1, Valentine Lecuyer1, Lena Durieux1, James Bonaiuto1,2, Holly Rayson1,2, Bassem Hiba 1,2
1Institut des Sciences Cognitives Marc Jeannerod (ISC MJ) - CNRS UMR5229, Bron, France
2Claude Bernard Lyon 1 University, Villeurbanne, France
3Harvard Medical School, Boston, United States of America
4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
5Department of Pediatric Neurosurgery, Hôpital Femme Mère Enfant, Bron, France
6SFR Santé Lyon-Est, CNRS UAR3453, INSERM US7, Université Lyon 1, Lyon, France
7CERMEP-Imaging platform, Groupement Hospitalier Est, Bron 69677, France
Presenting Author: Bassem Hiba

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References

1. Tisdall MD, Reuter M, Qureshi A, Buckner RL, Fischl B, Van Der Kouwe AJW. Prospective motion correction with volumetric navigators (vNavs) reduces the bias and variance in brain morphometry induced by subject motion. NeuroImage. 2016;127:11-22. doi:10.1016/j.neuroimage.2015.11.054 [doi]
2. Frost R, Wighton P, Karahanoğlu FI, et al. Markerless high‐frequency prospective motion correction for neuroanatomical MRI. Magn Reson Med. 2019;82(1):126-144. doi:10.1002/mrm.27705 [doi]
3. Zariry Z, Lamberton F, Frost R, et al. An in-vivo approach to quantify in-MRI head motion tracking accuracy: comparison of markerless optical tracking versus fat-navigators. medRxiv. Preprint posted online April 25, 2025:2025.04.23.25326185. doi:10.1101/2025.04.23.25326185 [doi]
4. Slipsager JM, Ellegaard AH, Glimberg SL, et al. Markerless motion tracking and correction for PET, MRI, and simultaneous PET/MRI. Zhang Q, ed. PLOS ONE. 2019;14(4):e0215524. doi:10.1371/journal.pone.0215524 [doi]
5. Zahneisen B, Keating B, Singh A, Herbst M, Ernst T. Reverse retrospective motion correction. Magn Reson Med. 2016;75(6):2341-2349. doi:10.1002/mrm.25830 [doi]
6. Frost R., Tisdall M. D., Hoffmann M., Fischl B., Salat D., and Van der Kouwe A.. Scan-specific assessment of vNav motion artifact mitigation in the HCP Aging study using reverse motion correction. In Proceedings of the 28th Annual Meeting of ISMRM, Virtual Meeting, 2020 (abstract 467).
7. Pertuz S, Puig D, Garcia MA. Analysis of focus measure operators for shape-from-focus. Pattern Recognit. 2013;46(5):1415-1432. doi:10.1016/j.patcog.2012.11.011 [doi]
8. Wang L, Wu Z, Chen L, Sun Y, Lin W, Li G. iBEAT V2.0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction. Nat Protoc. 2023;18(5):1488-1509. doi:10.1038/s41596-023-00806-x [doi]
9. Fischl B. FreeSurfer. NeuroImage. 2012;62(2):774-781. doi:10.1016/j.neuroimage.2012.01.021 [doi]
10. Bates D, Mächler M, Bolker B, Walker S. Fitting Linear Mixed-Effects Models Using lme4. J Stat Softw. 2015;67:1-48. doi:10.18637/jss.v067.i01 [doi]
11. Lenth RV. emmeans: Estimated Marginal Means, aka Least-Squares Means. Published online October 20, 2017:1.10.7. doi:10.32614/CRAN.package.emmeans [doi]
12. Tisdall MD, Hess AT, Reuter M, Meintjes EM, Fischl B, Van Der Kouwe AJW. Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI. Magn Reson Med. 2012;68(2):389-399. doi:10.1002/mrm.23228 [doi]

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http://echo.ismrm.org/p/ISMRM2026/302-03-005