Construction of a coronary artery atlas from CT angiography.
2014 (English)In: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, Vol. 8674, no 2014, 513-520 p.Article in journal (Refereed) Published
Describing the detailed statistical anatomy of the coronary artery tree is important for determining the aetiology of heart disease. A number of studies have investigated geometrical features and have found that these correlate with clinical outcomes, e.g. bifurcation angle with major adverse cardiac events. These methodologies were mainly two-dimensional, manual and prone to inter-observer variability, and the data commonly relates to cases already with pathology. We propose a hybrid atlasing methodology to build a population of computational models of the coronary arteries to comprehensively and accurately assess anatomy including 3D size, geometry and shape descriptors. A random sample of 122 cardiac CT scans with a calcium score of zero was segmented and analysed using a standardised protocol. The resulting atlas includes, but is not limited to, the distributions of the coronary tree in terms of angles, diameters, centrelines, principal component shape analysis and cross-sectional contours. This novel resource will facilitate the improvement of stent design and provide a reference for hemodynamic simulations, and provides a basis for large normal and pathological databases.
Place, publisher, year, edition, pages
2014. Vol. 8674, no 2014, 513-520 p.
Probability Theory and Statistics
IdentifiersURN: urn:nbn:se:liu:diva-115596DOI: 10.1007/978-3-319-10470-6_64PubMedID: 25485418OAI: oai:DiVA.org:liu-115596DiVA: diva2:796190
Med Image Comput Comput Assist Interv (MICCAI) Boston 2014