Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
552-03-006 / 552-03-006 ISMRM Abstract

Ultra-High b-value DWI increases diagnostic sensitivity of advanced diffusion models in acute ischemic stroke

Primary: Diffusion - Diffusion Modeling
Secondary: Diffusion - Diffusion Acquisition
552-03-006 · Diffusion Methodologies and Clinical Applications · Wednesday, 13 May, 4:00 PM–5:36 PM · Power Pitch Theatre 2
552-03-006 · Diffusion Methodologies and Clinical Applications · Wednesday, 13 May, 4:00 PM–5:36 PM · Power Pitch Theatre 2
Keywords: DWI/DTI/DKI Stroke Deep learning Ultra-high b-value
Accepted
Chuanshuai Tian1, Cong Wang2, Daming Shen3, Zhengge Wang1, xue liang1, Peigen Wang1, Huiting Wang1, Jiahui Cao1, Chao Zou1, Lei Cao1, Xiaoqian Zhu1, Jiaming Lu1, Bing Zhang1, Xin Zhang 1
1Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
2School of Electronics and Information Engineering, Suzhou Vocational University, Suzhou, China
3MR Research China, GE Healthcare, Beijing, China
Presenting Author: Xin Zhang

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Kamel, Peter, et al. "Optimizing acute stroke segmentation on MRI using deep learning: self-configuring neural networks provide high performance using only DWI sequences." Journal of Imaging Informatics in Medicine 38.2 (2025): 717-726. doi: 10.1007/s10278-024-00994-2. PMID: 39138749. [doi] [pmid]
2. Dogariu, Oana Andreea, et al. "Correlation between DWI-ASPECTS Score, ischemic stroke volume on DWI, clinical severity and short-term prognosis: a single-center study." Brain Sciences 14.6 (2024): 577. doi: 10.3390/brainsci14060577. PMID: 38928577. [doi] [pmid]
3. Jensen, Jens H., and Joseph A. Helpern. "MRI quantification of non‐Gaussian water diffusion by kurtosis analysis." NMR in Biomedicine 23.7 (2010): 698-710. doi: 10.1002/nbm.1518. PMID: 20632416. [doi] [pmid]
4. Le Bihan, Denis, et al. "MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders." Radiology 161.2 (1986): 401-407.doi: 10.1148/radiology.161.2.3763909. PMID: 3763909. [doi] [pmid]
5. Yablonskiy, Dmitriy A., G. Larry Bretthorst, and Joseph JH Ackerman. "Statistical model for diffusion attenuated MR signal." Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 50.4 (2003): 664-669. doi: 10.1002/mrm.10578. PMID: 14523949. [doi] [pmid]
6. Lima, Mami, and Denis Le Bihan. "Clinical intravoxel incoherent motion and diffusion MR imaging: past, present, and future." Radiology 278.1 (2016): 13-32. doi: 10.1148/radiol.2015150244. PMID: 26690990. [doi] [pmid]
7. Zeng, Qiang, et al. "A modified tri-exponential model for multi-b-value diffusion-weighted imaging: a method to detect the strictly diffusion-limited compartment in brain." Frontiers in neuroscience 12 (2018): 102. doi: 10.3389/fnins.2018.00102. PMID: 29535599. [doi] [pmid]
8. Jiang, Rifeng, et al. "High b‐Value and Ultra‐High b‐Value Diffusion Weighted MRI in Stroke." Journal of Magnetic Resonance Imaging 61.3 (2025): 1459-1469. doi: 10.1002/jmri.29547. PMID: 39074845. [doi] [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/552-03-006