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Abstract #1016

Multimodal apparent diffusion model provides comprehensive analysis of clinical subacute stroke lesions

Frederick C. Damen1, Changliang Su2, Burce Ozgen Mocan1, Tibor Vályi-Nagy3, Rifeng Jiang4, and Kejia Cai1,5
1Radiology, University of Illinois at Chicago, Chicago, IL, United States, 2Medical Imaging, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China, 3Pathology, University of Illinois at Chicago, Chicago, IL, United States, 4Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China, 5Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States


We present our initial findings of applying Multimodal Apparent Diffusion (MAD) MRI, including b-values up to 10,000 s/mm2, to analyze subacute stroke lesions for the characterization of stroke lesions based on micro-environment biomarkers in order to guide treatment in clinics. MAD model is able to separate the acquired diffusion weighted signal into flow, and, unimpeded (fluid), hindered, and restricted apparent diffusion components. Significant differences were found in MAD parameters between lesions and normal appearing white matter. Fraction of unimpeded diffusion significantly increased. Hindered diffusion was significantly lower in lesions. On the other hand, restricted diffusion was significantly higher.

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