Results
Embedded Files
We improved upon an existing program that is a guided, semi-automated MATLAB bundle that processes cardiac CT images. The run time of the code was decreased and the code was optimized. This program produced results that related lesion presence to surrounding tissue type
Features of the Design
MATLAB algorithm is simple to use and implement for researchers and clinicians with programming knowledge
Quantitative analysis of percent composition of different tissue types around vessels via tissue identification and distribution calculations
Qualitative analysis of different types of tissue through linearization and color mapping
Derivation of salient physiological information that is potentially useful for atherosclerosis research
Tissue Distribution Results
Results of the Tissue Distribution function for two vessels with evidence of a calcified atherosclerotic lesions and for one healthy vessel:
Utilizing The Program
Investigation - research the etiology of atherosclerosis
Clinical Study - determine effectiveness of the disease therapies
Patient Knowledge - using the color mapping tool and qualitative output to educate patients about atherosclerosis
Future Directions
Short Term Goals
Test the program with larger and varied CT samples
Improve user input accessibility
Determine correlations between tissue composition outside of vessels
Long Term Goals
Run clinical trials
Implement the program into a healthcare routine
Create a fully automated image processing tool
Determine new insights into the etiology of atherosclerosis
UC San Diego 2021
Page Leader: Westin Gibbs
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