Simbios Talk, C. Taylor and N. Wilson, Stanford University, October 3, 2007


Charles A. Taylor, C. Alberto Figueroa, Bill Katz, Peter Feenstra
Stanford University

Nathan M. Wilson, Ph.D.
Cardiovascular Simulation, Inc.

In recent years, image-based computational methods have been described for modeling blood flow in the cardiovascular system and test hypotheses related to the localization of vascular disease. We will present results related to modeling blood flow in the systemic and pulmonary circulations of individual subjects. We then describe a new approach for cardiovascular treatment planning in which the physician utilizes computational tools to construct and evaluate a combined anatomic/physiologic model to predict the outcome of alternate treatment plans for an individual patient. In order to ensure that these predictive tools are clinically relevant, they must faithfully represent the anatomy and physiology of individual patients. Recent progress in constructing subject specific anatomic models from medical imaging data, acquiring physiologic data under resting and exercise conditions, planning treatments, and modeling blood flow and vessel deformation will be described. Results from in vitro and animal studies utilizing magnetic resonance imaging techniques to validate computational blood flow simulations will be presented. Applications of computer methods to model blood flow in patients with congenital and acquired occlusive cardiovascular disease are discussed. Next, progress in disseminating SimVascular through Simbios will be discussed. Finally, the SimVascular software will be demonstrated.