Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
365-02-011 ISMRM Abstract

Assessing Carotid Plaque Vulnerability Without Gadolinium: A Physics and Mask-Guided Deep Learning Approach

Accepted
Jinglin Zhou 1, Jie Lu1,2
1Xuanwu Hospital, Capital Medical University, Beijing, China
2Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
Presenting Author: Jinglin Zhou

Synopsis

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References

1. Feigin VL, Stark BA, Johnson CO, Roth GA, Bisignano C, Abady GG, Abbasifard M, Abbasi-Kangevari M, Abd-Allah F, Abedi V, Abualhasan A. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Neurology. 2021 Oct 1;20(10):795-820. doi:10.1016/S1474-4422(21)00252-0. [doi]
2. Saba L, Nardi V, Cau R, Gupta A, Kamel H, Suri JS, Balestrieri A, Congiu T, Butler AP, Gieseg S, Fanni D. Carotid artery plaque calcifications: lessons from histopathology to diagnostic imaging. Stroke. 2022. doi: 10.1161/STROKEAHA.121.035692. [doi]
3. Gao Y, Li Z, Zhai X, Zhang G, Zhang L, Huang T, Han L, Wang J, Yan R, Li Y, Zhao H. MRI-based habitat radiomics combined with vision transformer for identifying vulnerable intracranial atherosclerotic plaques and predicting stroke events: a multicenter, retrospective study. EClinicalMedicine. 2025 Apr 1;82. doi:10.1016/j.eclinm.2025.103186. [doi]
4. Lyu J, Fu Y, Yang M, Xiong Y, Duan Q, Duan C, Wang X, Xing X, Zhang D, Lin J, Luo C. Generative adversarial network–based noncontrast CT angiography for aorta and carotid arteries. Radiology. 2023 Nov 14;309(2):e230681. doi: 10.1148/radiol.230681. [doi]
5. Huang H, Mo J, Ding Z, Peng X, Liu R, Zhuang D, Zhang Y, Hu G, Huang B, Qiu Y. Deep Learning to Simulate Contrast-Enhanced MRI for Evaluating Suspected Prostate Cancer. Radiology. 2025 Jan 14;314(1):e240238. doi: 10.1148/radiol.240238. [doi]
6. Isola P, Zhu JY, Zhou T, Efros AA. Image-to-image translation with conditional adversarial networks. InProceedings of the IEEE conference on computer vision and pattern recognition 2017. https://doi.org/10.48550/arXiv.1611.07004. [doi]
7. Zhu JY, Park T, Isola P, Efros AA. Unpaired image-to-image translation using cycle-consistent adversarial networks. InProceedings of the IEEE international conference on computer vision 2017. https://doi.org/10.48550/arXiv.1703.10593. [doi]

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