Automatic Assessment of 3D Coronary Artery Distensibility from Time-Resolved Coronary CT Angiography^.

Area of Science:

• Cardiovascular imaging and analysis
• Biomedical engineering
• Computational geometry

Background:

• Coronary artery distensibility is a key indicator of arterial health, crucial for early detection of cardiovascular diseases like atherosclerosis.
• Assessing distensibility can reveal arterial remodeling and inflammation before lumen narrowing occurs, enabling timely preventive treatment.

Purpose of the Study:

• To introduce and validate a novel framework for calculating the 3D distensibility of the left coronary artery (LCA).
• To utilize time-resolved coronary computerized tomography angiography (CCTA) for non-invasive assessment of LCA distensibility.

Main Methods:

• Segmentation of the LCA lumen in systole and diastole CCTA frames using vesselness, region growing, and level sets.
• Computational geometry techniques for analyzing and registering segmented arteries.
• Calculation of lumen cross-sectional area changes between cardiac phases to determine distensibility.

Main Results:

• The developed framework accurately calculates 3D left coronary artery distensibility from CCTA data.
• In-vivo validation demonstrated the framework's reliability and accuracy compared to expert radiologist assessments.
• The method successfully measures coronary artery distensibility, even in early stages of disease.

Conclusions:

• The proposed framework offers an accurate and reliable tool for quantitative assessment of coronary artery distensibility.
• This approach facilitates early detection of arterial changes, supporting preventive cardiovascular care.
• The CCTA-based framework provides valuable insights into arterial wall mechanics and disease progression.