David Bonekamp1, Barney Douglas Ward2, Richard Leigh3, Peter B. Barker1, Arvind P. Pathak1
1Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States; 2Department of Biophysics, Medical College of Wisconsin,, Milwaukee, WI, United States; 3Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
Extravasation of contrast during bolus passage alters the dynamic susceptibility contrast MRI signal. Reliable quantification of microvascular parameters in common brain pathologies depends on the ability to account for effects of leaky vasculature. Analytical solutions are hampered by mathematical approximations. We extend the computational finite perturber model (FPM) by incorporating a compartmental model to simulate arterial bolus passage and contrast agent extravasation. We find that known characteristics of DSC-MRI signal curves can be successfully modeled. This approach provides a powerful framework to optimize imaging sequences and to examine the complicated interaction of pathological, physiological and biophysical phenomena that result in the observed DSC-MRI signal.