David Bonekamp1,
1Department of Radiology and
Radiological Science, Johns Hopkins University, Baltimore, MD, United States;
2Department of Biomedical Engineering, Johns Hopkins University,
Baltimore, MD, United States; 3Department of Biophysics, Medical
College of Wisconsin,, Milwaukee, WI, United States
Development
of new susceptibility-based contrast MR imaging biomarkers of angiogenesis
(e.g. susceptibility-based blood volume and vessel size index) requires
biophysical models that incorporate accurate representations of the brain
tumor vasculature to establish an accurate relationship to the molecular
basis of angiogenesis. We investigate the relationship between brain tumor
angiogenesis and susceptibility-based contrast MRI by incorporating the de
facto brain vasculature in a state-of-the-art computational model of MR image
contrast called the finite perturber method (FPM). Our simulations show
substantial signal differences between regions of tumor vascularity and
normal brain while enabling to study the entire vascular network of a mouse
brain at the same time.