Qiang Shen1, Virendra Desai1, Timothy O. Duong2
1Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States; 2Research Imaging Institute, UT Health Science Center at San Antonio, San Antonio, TX, United States
Acute diffusion data has been used to predict ischemic tissues fate on a pixel-by-pixel basis. Predictions however were made based on acute MRI data from a single time point. This study proposes a novel approach to incorporate the temporal characteristics of acute ADC (apparent diffusion coefficient) changes to characterize tissue fate based on a pixel by pixel basis. This approach was tested on rat stroke models subjected to permanent, 60-min and 30-min middle cerebral artery occlusion (MCAO). We concluded that there were distinct temporal patterns that determined tissue salvageability and incorporating temporal information can improve prediction accuracy.