Hassan Bagher-Ebadian1,2, Panayiotis D. Mitsias1, Mohammad Hossein Asgari1, Michael Chopp1,2, James Russel Ewing1,2
1Department of Neurology, Henry Ford Hospital, Detroit, MI, United States; 2Department of Physics, Oakland University, Rochester, MI, United States
Experimental and clinical studies indicate that the likelihood for progression to infarction in the penumbra of physiologically impaired but potentially salvageable tissue surrounding the central core of focal cerebral ischemia is an important factor in evaluating treatment efficacy. Thus, a multi-parametric analysis that increases the ability of investigators to detect and characterize ischemic penumbra in the early stages of stroke have a profound clinical significance. In this study, a mechanical model of inelastic collision is recruited and adapted to information theory for constructing a model-based algorithm for multi-parametric analysis of MR information in acute stroke to detect ischemic brain penumbra.