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Abstract #0707

The Fuzzy MAD Stroke Conjecture, using Fuzzy C Means to classify Multimodal Apparent Diffusion for stroke stratification

Frederick C. Damen1, Changliang Su2, Thomas Anderson1, Tibor Valyi-Nagy3, Leon Tai4, Rifeng Jiang5, and Kejia Cai1,6
1Radiology, University of Illinois at Chicago, Chicago, IL, United States, 2Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China, 3Pathology, University of Illinois at Chicago, Chicago, IL, United States, 4Anatomy and Cell Biology, University of Illinois at Chicago, Chicago, IL, United States, 5Radiology, Fujian Medical University Union Hospital, Fuzhou, China, 6Bioengineering, University of Illinois at Chicago, Chicago, IL, United States

Synopsis

Keywords: Stroke, Diffusion/other diffusion imaging techniques

The ischemic stroke cascade is a complex menagerie of processes causing disruption of neuronal function and willful and/or reactive breakdown of the neural vascular unit (NVU), and, prevails to recovery, repair, or patient demise. To better understand the underpinnings of the stroke cascade we applied our Multimodal Apparent Diffusion (MAD) method to multi b‑value diffusion weighted magnetic resonance imaging, up to b‑value of 10K s/mm2, on 41 consecutive stroke patients. Using Fuzzy C Means we were able to discern 13 normal appearing tissue types and 16 lesion types. There are several findings that should be contemplated in current clinical imaging.

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