CT Image Processing Software for Adventitial Tissue Analysis in Coronary Atherosclerosis
CT Image Processing Software for Adventitial Tissue Analysis in Coronary Atherosclerosis
Coronary atherosclerosis denotes the buildup of fat inside the walls of the blood vessels of the heart. This disease contributes to a total of 50% of all deaths in the Western World. Despite its deadly nature, researchers struggle to understand its true etiology, and treatment usually begin in later stages when the progression of atherosclerosis is already severe and irreversible.
Most research has been dedicated to factors inside of the vessels to determine the overall cause of atherosclerosis. This approach however has not been able to accuratley identify and detect this deadly disease in its early stages. There's been a push for more research on factors outside of the blood vessel and the tissues that surround it. There's still a lack of technology and research that can determine this, which leads to our development of a processing system that can analyze the surrounding tissue and find correlations between them.
Project Overview Video
As the buildup of fat worsens, it calcifies into a plaque. In severe cases, the plaque develops into a lesion, and eventually ruptures. The plaque and the rupture block the blood flow, preventing enough blood from going to the heart. This leads to further complications including heart attack, stroke, or even death.
The root cause of atherosclerosis is one of medicines biggest questions to this day
Approximately 18 million people die from atherosclerosis every year
In the US alone the average cost of treatment for patients diagnosed with atherosclerosis is $1,074/ month
Sean Ewalt - Bioengineering: Biotechnology
Westin Gibbs - Bioengineering: Bioinformatics
Danielle Manalastas - Bioengineering: Biosystems
Vanessa Rohrer - Bioengineering: Bioengineering
Katherine Young - Bioengineering: Biosystems
UC San Diego 2021
Page Leader: Vanessa Rohrer