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DDTracking: A diffusion model-based deep generative framework with local-global spatiotemporal modeling for diffusion MRI tractography | Synapse
March 3, 2026
Open Access
DDTracking: A diffusion model-based deep generative framework with local-global spatiotemporal modeling for diffusion MRI tractography
YL
Yijie Li
University of Electronic Science and Technology of China
WZ
Wen Zhang
General Cardiology
XZ
Xi Zhu
The University of Texas at Arlington
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Key Points
Employing a deep generative framework, the study enhances diffusion MRI tractography accuracy.
Utilizing spatiotemporal modeling, the method improves the identification of neural pathways in brain imaging.
The approach leverages advanced diffusion models to analyze MRI data effectively.
Results may enable better understanding of brain connectivity, advancing neuroscience research.
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Li et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75d6bc6e9836116a27738
https://doi.org/https://doi.org/10.1016/j.media.2026.103967