Application of a Novel 3D Centerline Extraction Algorithm for Automated Coronary Artery Mapping and Quantification

Clinical radiology and medical imaging research are beneficiated from the increased effectiveness of modern computer vision and image processing technologies. In order to automatically extract 3D centerlines from complex 3D images, our lab recently created a novel image processing technique. We will demonstrate its clinical utility using real-world medical imaging data. Therefore, the objectives of this project are to: 1) use an open-access algorithm evaluation framework to both quantify the accuracy and demonstrate the utility of our method using a real-world medical imaging benchmark; and 2) improve the computer code into an intuitive software suite to perform automated quantification of blood vessel diameter and cross-sectional area along the segmented coronary artery branches to highlight significant areas that need closer inspection.

Faculty Supervisor:

Chase Figley

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Manitoba

Program: