Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
530-02-010 ISMRM Abstract

Improving Cross-Field MRI Alignment with Nonlinear ANTs Registration for Reliable Connectivity Mapping

Primary: Analysis Methods - Image Registration and Alignment
Secondary: Brain Function and fMRI - fMRI Analysis
530-02-010 · Registration, Atlases, and Motion · Wednesday, 13 May, 8:20 AM–10:10 AM · Meeting Room 2.60
Keywords: Functional Connectivity Image registration Neuroimaging Ultra high field MRI Across Varied Field Strengths
Accepted
Jamini Bhagu 1, Gail Harmata2, Adriana Rivera-Dompenciel2, Michelle Voss3, Jenny Richards2, Sarah Smith2, Spencer Smith2, Aislinn Williams1, Jerome J Maller2, John Wemmie1, Vincent A Magnotta2
1Department of Psychiatry, University of Iowa, Iowa City, United States of America
2Department of Radiology, University of Iowa, Iowa City, United States of America
3Department of Psychological Brain Sciences, University of Iowa, Iowa City, United States of America
Presenting Author: Jamini Bhagu

Synopsis

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References

1. O. Esteban et al., “fMRIPrep: a robust preprocessing pipeline for functional MRI,” Nat. Methods, vol. 16, no. 1, pp. 111–116, Jan. 2019, doi: 10.1038/s41592-018-0235-4. [doi]
2. O. Viessmann and J. R. Polimeni, “High-resolution fMRI at 7 Tesla: challenges, promises and recent developments for individual-focused fMRI studies,” Curr. Opin. Behav. Sci., vol. 40, pp. 96–104, Aug. 2021, doi: 10.1016/j.cobeha.2021.01.011. [doi]
3. J. Ying, R. Cattell, and C. Huang, “Cross-field strength and multi-vendor reliability of MagDensity for MRI-based quantitative breast density analysis,” PLOS ONE, vol. 20, no. 6, p. e0316076, June 2025, doi: 10.1371/journal.pone.0316076. [doi]
4. B. B. Avants, C. L. Epstein, M. Grossman, and J. C. Gee, “Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain,” Med. Image Anal., vol. 12, no. 1, pp. 26–41, Feb. 2008, doi: 10.1016/j.media.2007.06.004. [doi]
5. K. Mehta et al., “XCP-D: A Robust Pipeline for the post-processing of fMRI data,” bioRxiv, p. 2023.11.20.567926, Nov. 2023, doi: 10.1101/2023.11.20.567926. [doi]
6. B. B. Avants, N. J. Tustison, G. Song, P. A. Cook, A. Klein, and J. C. Gee, “A reproducible evaluation of ANTs similarity metric performance in brain image registration,” NeuroImage, vol. 54, no. 3, pp. 2033–2044, Feb. 2011, doi: 10.1016/j.neuroimage.2010.09.025. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/530-02-010