Degree Type

Thesis

Date of Award

2019

Degree Name

Master of Science

Department

Mechanical Engineering

Major

Mechanical Engineering

First Advisor

Adarsh Krishnamurthy

Abstract

Heart disease has been the leading cause of death both in the world and the United States

in the past decade. Computational cardiac modeling and simulation, especially patient-specific

cardiac modeling has been recognized as one of the best ways to improve diagnosis of heart

disease by providing insights in individual disease characteristics that cannot be obtained by

other means. However presenting the results of cardiac simulations to cardiologists in an

interactive manner can considerably improve the utility of cardiac models in understanding

the heart function. In this work, we have developed virtual reality and animated volume

rendering techniques to render the results of cardiac simulations. We have developed a GPU

accelerated algorithm that produces time varying voxelized representation of the quantities of

interest in a cardiac model, which can then be interactively rendered in real time. We voxelize

the different time frames of the analysis model and transfer the time-varying data to the GPU

memory using a flat data structure. This technique allows us to visualize and interact with

animation in real time. As a proof-of-concept, we test our method on interactively rendering

the simulation results of cardiac biomechanics simulations. We also present the timing results

on post-processing and rendering two different cardiac IGA at different resolutions. We achieve

an interactive frame rate of over 50 fps for all test cases.

Copyright Owner

Xin Huang

Language

en

File Format

application/pdf

File Size

27 pages

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