Traditionally, most studies concerning the pathogenesis of atherosclerosis have focused on analyzing the lesions themselves or other factors inside of the blood vessel. However, researchers have been unsuccessful in determining the root cause of the disease with this approach. As a result, a greater emphasis has been placed on analyzing the tissues surrounding these lesions outside of the blood vessel as they may lead to new insight on the pathophysiology of the disease. Most of this analysis utilizes CT imaging. However, analyzing these tissues directly using CT images and current image processing tools is time consuming and extremely difficult.
Create a CT image processing pipeline for atherosclerosis research that is dedicated to performing analysis outside of the blood vessel
Provide an intuitive way to visualize blood vessels and the tissues surrounding them
Develop quantitative parameters to analyze the tissues surrounding atherosclerotic lesions
Reduce the amount of manual analysis in an effort to minimize the potential of human error
Minimize the amount of previous expertise needed to perform analysis of atherosclerotic lesions and the tissues surrounding them
Dr. Geert Schmid-Schoenbein, Dr. Elliot McVeigh, Zhennong Chen, Dr. Bruce Wheeler, and Neha Chhugani
University of California, San Diego
2020
Page Leader: Adriana Guetter