Date of Award

5-1-2026

Document Type

Thesis

Department

Computer Science

First Advisor

Aryabrata Basu

Abstract

Coronary artery disease remains one of the leading causes of death worldwide, making early detection and treatment critical to reducing mortality. While coronary angiography remains the gold standard procedure for diagnosing coronary artery disease, less invasive methods such as coronary computed tomography angiography and virtual fractional flow re-serve continue to improve. However, taking full advantage of volumetric coronary computed tomography angiography data requires extensive post-processing before the data can support geometric modeling, hemodynamic simulation, and analysis. Existing Open-Source Appli-cations provide powerful tools for these tasks, but their interaction models remain largely desktop based, restricting users to 2d manipulation and hindering intuitive spatial interaction necessary to resolve complex 3d vessel morphologies. Immersive Visualization of Cardiac Segmentation and Analysis is a prototype pipeline for post-processing and visualizing coronary CT data within an immersive environment. The sys-tem supports initial volume visualization, interactive segmentation, three-dimensional model generation, mesh preparation, server-side computational fluid dynamics processing, and ren-dering of simulation results in virtual reality. By adapting functionality from established tools into an interactive immersive workflow, this work demonstrates a flexible research platform for exploring patient-specific vascular modeling and hemodynamic visualization.

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