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Automatic Assessment of 3D Coronary Artery Distensibility from Time-Resolved Coronary CT Angiography
- Source :
- EMBC, Publons
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- Measuring coronary artery distensibility can determine the arterial remodeling type, arterial wall inflammation, and atherosclerotic plaques in early stage even before any observed narrowing in the lumen. This is crucial to promote an appropriate, preventive, and effective treatment. This study introduces a framework for calculating the 3D distensibility of the left coronary artery (LCA) from time-resolved coronary computerized tomography angiography (CCTA) images. Vesselness, region growing, and level sets are utilized for segmenting the LCA lumen in the systole and diastole CCTA time frames. The segmented arteries are then analyzed and registered using computational geometry to calculate the changes in the lumen cross-section areas between both time frames. In-vivo validation of the framework performance was accomplished against that of two radiologists and their consensus. Results demonstrate that the framework was accurate and reliable tool for measuring the coronary arteries distensibility.
- Subjects :
- medicine.medical_specialty
Computed Tomography Angiography
Diastole
Lumen (anatomy)
Coronary Artery Disease
Coronary Angiography
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Left coronary artery
Internal medicine
medicine.artery
medicine
Humans
medicine.diagnostic_test
business.industry
Coronary ct angiography
Coronary Vessels
Coronary arteries
medicine.anatomical_structure
Angiography
Cardiology
Tomography
Tomography, X-Ray Computed
business
030217 neurology & neurosurgery
Artery
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Accession number :
- edsair.doi.dedup.....682ed13e408334e19070549e46376d44
- Full Text :
- https://doi.org/10.1109/embc.2019.8856732