Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
530-02-005 ISMRM Abstract

Landmark Matching and B-spline Implicit Neural Representations for Diffusion-Weighted Imaging Distortion Correction

Primary: Diffusion - Diffusion Software
Secondary: Analysis Methods - Image Registration and Alignment
530-02-005 · Registration, Atlases, and Motion · Wednesday, 13 May, 8:20 AM–10:10 AM · Meeting Room 2.60
Keywords: Diffusion-Weighted Imaging Artificial Intelligence Distortion correction Deep-learning
Accepted
Yunxiang Li1, Yen-peng Liao1, Yan Dai1, Jie Deng1, You Zhang 1
1Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, United States of America
Presenting Author: You Zhang

Synopsis

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References

1. P. W. Schaefer, P. E. Grant, and R. G. Gonzalez, "Diffusion-weighted MR imaging of the brain," Radiology, vol. 217, pp. 331–345, 2000. doi: 10.1148/radiology.217.2.r00nv24331 [doi]
2. D.-M. Koh and D. J. Collins, "Diffusion-weighted MRI in the body: applications and challenges in oncology," American Journal of Roentgenology, vol. 188, pp. 1622–1635, 2007. doi: 10.2214/AJR.06.1403 [doi]
3. P. Jezzard and R. S. Balaban, "Correction for geometric distortion in echo planar images from B0 field variations," Magnetic Resonance in Medicine, vol. 34, pp. 65–73, 1995. doi: 10.1002/mrm.1910340111 [doi]
4. J. L. Andersson, S. Skare, and J. Ashburner, "How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging," NeuroImage, vol. 20, pp. 870–888, 2003. doi: 10.1016/S1053-8119(03)00336-7 [doi]
5. 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," Medical Image Analysis, vol. 12, pp. 26–41, 2008. doi: 10.1016/j.media.2007.06.004 [doi]
6. G. Balakrishnan, A. Zhao, M. R. Sabuncu, J. Guttag, and A. V. Dalca, "VoxelMorph: a learning framework for deformable medical image registration," IEEE Transactions on Medical Imaging, vol. 38, pp. 1788–1800, 2019. doi: 10.1109/TMI.2019.2897538 [doi]
7. M. Hoffmann, B. Billot, D. N. Greve, J. Uretsky, P. Golland, and B. Fischl, "SynthMorph: learning contrast-invariant registration without acquired images," IEEE Transactions on Medical Imaging, vol. 41, pp. 543–558, 2021. doi: 10.1109/TMI.2021.3116879 [doi]
8. J. Ren, X. Jiang, Y. Yuan, G. Tang, J. Wang, and K. Li, "MINIMA: Modality Invariant Image Matching," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025. doi: 10.48550/arXiv.2412.19412 [doi]
9. D. Rueckert, L. I. Sonoda, C. Hayes, D. L. Hill, M. O. Leach, and D. J. Hawkes, "Nonrigid registration using free-form deformations: application to breast MR images," IEEE Transactions on Medical Imaging, vol. 18, pp. 712–721, 2002. doi: 10.1109/42.796284 [doi]
10. X. Song, X. Xu, and P. Yan, "DINO-Reg: General purpose image encoder for training-free multi-modal deformable medical image registration," in Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 608–617, 2024. doi: 10.1007/978-3-031-72069-7_57 [doi]

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http://echo.ismrm.org/p/ISMRM2026/530-02-005