Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
470-03-090 ISMRM Abstract

A Dual-Stream Fusion Framework for Tractography Fiber Classification with Joint dMRI and fMRI data

Primary: Diffusion - Tractography
Secondary: Brain Function and fMRI - fMRI Analysis
470-03-090 · Diffusion: Tractography Methods · Tuesday, 12 May, 9:15 AM–10:10 AM · Traditional Posters | Exhibition Hall
Keywords: Tractography Diffusion MRI Functional MRI Tract parcellation
Accepted
Haotian Yan 1, Bocheng Guo1, Jianzhong He2, Nir A Sochen3, Ofer Pasternak4, Lauren J O’Donnell4, Fan Zhang1
1University of Electronic Science and Technology of China, Chengdu, China
2Zhejiang University of Technology, Hangzhou, China
3University of Tel Aviv, Israel
4Harvard Medical School, Boston, United States of America
Presenting Author: Haotian Yan

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References

1. Zhang, F. et al. Quantitative mapping of the brain’s structural connectivity using Zhang, F. et al. Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review. Neuroimage 249, 118870 (2022).
2. He, J. et al. Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods. Hum. Brain Mapp. 44, 6055–6073 (2023).
3. Xue, T. et al. TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation. in MICCAI 409–419 (2023).
4. Zhang, F. et al. Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation. Med. Image Anal. 65, 101761 (2020).
5. Xu, H. et al. Objective detection of eloquent axonal pathways to minimize postoperative deficits in pediatric epilepsy surgery using diffusion tractography and convolutional neural networks. IEEE Trans. Med. Imaging 38, 1910–1922 (2019).
6. Wang, J. et al. A novel deep learning tractography Fiber Clustering framework for functionally consistent white matter parcellation using multimodal diffusion MRI and functional MRI. arXiv [eess.IV] (2024).
7. Glasser, M. F. et al. The minimal preprocessing pipelines for the Human Connectome Project. Neuroimage 80, 105–124 (2013).
8. Wasserthal, J., Neher, P. & Maier-Hein, K. H. TractSeg - Fast and accurate white matter tract segmentation. Neuroimage 183, 239–253 (2018).
9. Qi, C., Su, H., Mo, K. & Guibas, L. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. 77–85 (2016).

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/470-03-090