Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Multiparametric MRI in Stroke

Digital Poster

Neuro A

Monday, 11 May 2026

Digital Posters Row J

13:50 - 14:45

Session Number: 369-03

No CME/CE Credit

Similar Sessions

This digital poster session covers multiparametric, multi-modal MRI studies in ischemic stroke and cerebrovascular diseases, including radiomics, utilising established methods to leading-edge approaches

		369-03-001. Lateralized Neurovascular-Glymphatic Imbalance and Cognitive Heterogeneity in Mild Ischemic Stroke: A Multimodal MRI Study Xiaotong Chi, Wanghuan Dun, Ming Zhang, Jianfeng Han, Meiling Shang, Huiping Liu, Yanran Chen, Chiyin Li, Gezhi Yan, Bingbing Guo, Yi Zhu, Guangxu Han The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China Impact: Lateralized glymphatic-neurovascular dysfunction after mild ischemic stroke opens new avenues for mechanistic studies, facilitates exploration of region-specific cognitive decline, and advances the application of multimodal imaging for monitoring functional clearance and intervention efficacy.
		369-03-002. Multiparametric CEST MRI and pH Mapping in Acute and Chronic Ischemic Stroke: Preliminary Clinical Findings Shihao Zeng, Shan Huang, Roxanna Kwok Chee Liu, Zhixuan Ren, Huabin Zhang, Yuen Kwun Wong, Ziyan Wang, Jiawen Wang, Ying Zhang, PEI CAI, Yi Zhang, Gary Kui Kai Lau, Jianpan Huang, Kannie W. Y. Chan The University of Hong Kong, Hong Kong, China Impact: Multiparametric CEST MRI and pH mapping effectively delineated acute stroke lesions and differentiated chronic stroke groups, correlating with onset time and clinical severity. These findings highlight the potential of CEST MRI as a non-invasive biomarker for stroke diagnosis and management.
		369-03-003. Cerebral Vascular Burden Disrupts the Structural-Functional Gradient of Human Brain: A Multi-modal Brain MRI Study Wentao Hu, Yan Zhou Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China Impact: This study reveals how vascular injury disrupting brain structure-function coupling, offering new insights into our understanding on cognitive decline. It enables future research into targeted interventions and network-specific vulnerability in cerebrovascular disease.
		369-03-004. Microstructural Alterations of Normal Appearing White Matter Assessed by Quantitative Multiparametric Mapping Huma Fatima Ali, Markus Klammer, Tobias Leutritz, Ralf Mekle, Andrea Dell'Orco, Christian Stehning, Stefan Hetzer, Joachim Weber, Michael Ahmadi, Sophie Piper, Katharina Schönrath, Ira Rohrpasser-Napierkowski, Nikolaus Weiskopf, Jeanette Schulz-Menger, Anja Hennemuth, Matthias Endres, Kersten Villringer Center for Stroke Research Berlin, Charité-Universitätsmedizin, Berlin, Germany Impact: By detecting early, not yet visible microstructural changes in the NAWM, qMPM could contribute to gaining insights into the dynamics of WMH changes and associated potential therapeutic interventions.
		369-03-005. Leiden Clustering-driven Radiomic Superpixels Decode Spatial Heterogeneity In Multimodal Stroke MRI Mengtian Ma, Muqing Luo, Yinqi Liu, Weiyin Vivian Liu, Kun Zhang The First Hospital of Hunan University of Chinese Medicine, ChangSha, China Impact: This study introduces a novel radiomics-based clustering framework leveraging multimodal MRI to delineate spatial brain heterogeneity in acute ischemic stroke, enabling precise prognosis prediction. It may help clinicians stratify patient risk, personalize treatment, and inspire new imaging biomarkers for stroke.
		369-03-006. IVIM-Derived Microvascular Reserve Predicts Tissue Salvageability Within the Perfusion-Diffusion Mismatch in Acute Stroke Aakaar Kapoor, Ritesh Kanotra, Dharmesh Singh, Ravi Kapoor, Tushar Kapoor, Dileep Kumar City Imaging & Clinical Labs, Delhi, India Impact: This work introduces a non-contrast MRI biomarker that directly reflects microvascular tissue viability,enabling more accurate identification of salvageable penumbra. It may improve reperfusion treatment decisions,particularly in patients with unclear onset or contrast contraindications, supporting more personalized and safer stroke care.
		369-03-007. Multimodal MRI Tracks Synergistic Neurovascular Repair with MSC-Exosomes and Low-Intensity Pulsed Ultrasound after Rat MCAO Tiefeng Li, Sicong Wang, Ao Zhang, Qi Wang, Wenbiao Yang, Lanxiang Liu Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, Hebei, Qinhuangdao 066000，Hebei Province, China Impact: Multimodal MRI yields sensitive biomarkers—relative ADC (rADC), IVIM perfusion fraction (f) and pseudo-diffusion (D*), and relative CBF (rCBF)—that capture synergistic neurovascular repair from MSC-exosomes plus LIPUS, enabling earlier response read-outs and facilitating preclinical-to-clinical translation in ischemic stroke.
		369-03-008. Discriminating Etiological Subtypes of Acute Ischemic Stroke Using a Dual-Center Integrated Clinical-Radiomics Model Ainikaerjiang Aihemaiti, Pahati Tuxunjiang, Yimuran Subi, Hanjiaerbieke Kukun, rui xu, Yuhui Xiong, Yuchen Liu, Yunling Wang The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China Impact: This validated model provides clinicians with an objective decision-support tool for refining TOAST subtyping between SAO and CE, addressing a key diagnostic challenge. It paves the way for investigating the model's impact on specific patient management decisions and long-term outcomes.
		369-03-009. Prior-Guided Diffusion Model for High-Fidelity Multi-Modal VWI Synthesis in Ischemic Stroke Jingfei Li, Xuetong Tao, Xuanle Li, Zeling Tan, Dongnan Zhao, Hongtao Zhang, Zhanli Hu, Dong Liang, Xin Liu, Hairong Zheng, Na Zhang Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China Impact: This prior-guided diffusion framework enables rapid generation of multi-contrast VWI from a single acquisition, potentially reducing scan time and patient burden while preserving diagnostic integrity for cerebrovascular assessment.
		369-03-010. Prediction of 10-year infarction cardiovascular diseases risk using multimodal model and interpretability methods Wenyue Mao, Rencheng Zheng, Chengyan Wang, He Wang Fudan University, Shanghai, China Impact: Our model identifies individuals at high infarction-related CVD risk in 10 years, aiding clinicians in personalized health monitoring guidance.
		369-03-011. Predicting Hemorrhagic Transformation after Stroke Thrombolysis by Integrating MRI Radiomics with Clinical Risk Factors Yimuran Subi, Pahati Tuxunjiang, Ainikaerjiang Aihemaiti, Hanjiaerbieke Kukun, Rui Xu, Yunling Wang, Yuhui Xiong, Yuchen Liu The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China Impact: This study established a comprehensive predictive model that enables personalized thrombolysis risk assessment by integrating clinical and radiomic data, permitting early identification of high-risk AIS patients for optimized treatment strategies.
		369-03-012. Development of an Ischemic Stroke Risk Prediction Model in Patients with Intracranial Atherosclerosis Based on Multimodal MRI Ling Li, Xuejiao Yan, Yu Wen, Min Tang, Kai AI, Xiaoyan Lei, Xiaoling Zhang Shaanxi Provincial People's Hospital, Xi'An, China Impact: The nomogram integrating HR-MRI plaque characteristics with ASL imaging to discriminate 1.5s-ATA and 2.5s-ATA presence accurately predicts ischemic stroke in ICAS, supporting risk stratification for stroke decision-making.
		369-03-013. Multi-parametric Metabolic Profiling in Ischemic Stroke Using 5T CEST-MRI with Advanced Quantitative Analysis (CESTQuant) Lixin Du, Pan Wang, Gen Yan, Jing Yang, Hai Lin Shenzhen Longhua District Central Hospital, Shenzhen, China Impact: This work establishes a robust, standardized framework for multi-parametric metabolic imaging using 5T CEST-MRI, providing unprecedented insights into the cerebral metabolic microenvironment after stroke and enabling future clinical translation.
		369-03-014. Associations between Structural and Functional Measures of Bilateral Motor Network Changes and Motor Recovery After Stroke Quinten Deckers, Jord Vink, Eline van Lieshout, Bart van der Worp, Johanna Visser-Meily, Rick Dijkhuizen, Alex Bhogal UMC Utrecht, Utrecht, Netherlands Impact: Mapping primary motor cortex status and interhemispheric balance during stroke recovery may identify key drivers of motor improvement, which could guide targeted interventions to accelerate stroke rehabilitation in patient clinics.