Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
363-02-006 ISMRM Abstract

Clinical Validation of a Deep-Learning based Multi-Dimensional Diffusion Encoding for Enhanced Stroke Microstructural Imaging

Primary: Neuro - Stroke and Cerebrovascular Disorders
Secondary: Diffusion - Diffusion Acquisition
363-02-006 · All About Diffusion · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row D
Keywords: Microscopic Anisotropy Multi-dimensional Diffusion Encoding Stroke Lesion Characterization Protocol Optimization Tissue Viability
Accepted
Weiyin Vivian Liu , Huang Zhong-qing1,2, Ying Long2
1Yuebei People’s Hospital, Shantou University Medical College, Shantou, Guangdong Province, ShaoGuan, China
2Department of Medical Image Center, Yuebei People’s Hospital, Shantou University Medical College, Shantou, Guangdong Province, ShaoGuan, China
Presenting Author: Weiyin Vivian Liu

Synopsis

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References

1. Jespersen, S. N., Olesen, J. L., Hansen, B., & Shemesh, N. (2018). Diffusion time dependence of microstructural parameters in fixed spinal cord. NeuroImage, 182, 329-342.
2. Szczepankiewicz, F., van Westen, D., Englund, E., Westin, C. F., Ståhlberg, F., Lätt, J., ... & Nilsson, M. (2021). The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE). NeuroImage, 237, 118135.
3. Kuo, L. W., Lee, C. Y., Chen, J. H., Wedeen, V. J., & Tseng, W. Y. I. (2008). Optimization of diffusion spectrum imaging and q-ball imaging on clinical MRI systems. NeuroImage, 41(1), 7-18.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/363-02-006