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 Cai^1,5

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

Synopsis

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here