3682
Julian, Maxwell "Illustration-inspired Visualization of Blood Flow Dynamics." Master of Applied Science
, The University of Toronto, 11/01/15
Keywords/Fields of Study : computational fluid dynamics; feature-tracking; hemodynamics; illustration-inspired; visualization
Abstract: Image-based computational fluid dynamics is an invaluable tool in the study and evaluation of hemodynamic factors involved in cardiovascular disease. Simulating blood flow inside a patient-specific model provides an understanding of the blood's complex behaviour without resorting to risky invasive procedures. However, detailed hemodynamic data can be difficult to present clearly using conventional flow visualization techniques. Many approaches use single snapshots in time which fail to capture the time-varying qualities of the flow dynamics; and animations retain temporal information but are constrained to a single point of view. To address these concerns, we took cues from illustration and comics to explore data-driven paradigms for visualizing blood flow. We programmatically reproduced illustrative techniques using modern computer graphics capabilities and computer vision-inspired feature-tracking algorithms. The culmination of this work produced an interactive web-based tool that allows users to explore the hemodynamics of cerebral aneurysms in a unique, immediate, and novel way.
Department: Mechanical and Industrial Engineering
, The University of Toronto
Advisor(s): David A. Steinman, Peter W. Coppin
