Abstract #4135

Personalized MR-derived brain temperature predictions after ischemic stroke – a case study

Dongsuk Sung¹, Peter A. Kottke², Jason W. Allen^1,3,4, Benjamin B. Risk⁵, Fadi Nahab⁴, Andrei G. Fedorov^2,6, and Candace C. Fleischer^1,3,6

¹Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States, ²Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States, ³Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, ⁴Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States, ⁵Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States, ⁶Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, United States

To prevent recurrent ischemic stroke, at-risk but viable tissue must be identified and reperfused. Conventional methods for identifying these regions can overestimate the infarct core leaving salvageable tissue untreated. To explore the use of brain temperature to identify viable tissue after stroke, we have refined our previous brain temperature model to simulate major cerebral artery occlusion and enable predictions of brain temperature evolution after stroke onset. Brain temperature was highest in ischemic penumbra followed by infarct core and lowest in healthy tissue, demonstrating its potential as an imaging biomarker for reperfusion therapy.

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