Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
368-01-007 ISMRM Abstract

Integrated Optimization of Distortion Correction and Functional-Anatomical Image Co-registration in fMRI

Primary: Brain Function and fMRI - fMRI Analysis
Secondary: Acquisition & Reconstruction - Artifacts and Correction Strategies
368-01-007 · Registration, Atlases, and Motion · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row I
Keywords: fMRI Analysis Distortion correction Susceptibility-induced geometric distortion
Accepted
Joseph Hutter1,2, Qingfei Luo1,3, Xiaohong Joe Zhou1,3,4
1Center for Magnetic Resonance Research, University of Illinois Chicago, Chicago, United States of America
2College of Medicine, University of Illinois Chicago, Chicago, United States of America
3Department of Radiology, University of Illinois Chicago, Chicago, United States of America
4Departments of Neurosurgery and Biomedical Engineering, University of Illinois Chicago, Chicago, United States of America
Presenting Author: Enamul H Bhuiyan

Synopsis

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References

1. Jezzard P. Correction of geometric distortion in fMRI data. NeuroImage. 2012;62:648-651.
2. Jezzard P, Balaban RS. Correction for geometric distortion in echo planar images from B0 field variations. Magn Reson Med. 1995;34:65-73.
3. Andersson JLR, Skare S, Ashburner J. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. NeuroImage. 2003;20:870-888.
4. Holland D, Kuperman JM, Dale AM. Efficient correction of inhomogeneous static magnetic field-induced distortion in echo planar imaging. NeuroImage. 2010; 50:175–183.
5. Wei SD, Lai SH. Robust and Efficient Image Alignment Based on Relative Gradient Matching. IEEE Trans Image Process, 2006;15:2936-2943.
6. Andersson JLR, Graham MS, Drobnjak I, Zhang H, & Campbell J. Susceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional data. NeuroImage, 2018;171:277–295.
7. Kingma DP, Ba J. Adam: A method for stochastic optimization. Proc ICLR, 2015.
8. Sluka KA, et al. Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signature. Pain; 2023;164:1912-1926.
9. Buckner RL, Andrews-Hanna JR, Schacter DL. The brain's default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci; 2008;1124:1-38.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/368-01-007