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.