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Construction of a coronary artery atlas from CT angiography
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2014 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Describing the detailed statistical anatomy of the coronary artery tree is important for determining the ætiology 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
Cham: Springer, 2014. p. 513-520
Keywords [en]
Coronary compute tomographic angiography, major adverse cardiac event, stent design, bifurcation angle, coronary artery tree
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-258856DOI: 10.1007/978-3-319-10470-6_64ISI: 000347686400064Scopus ID: 2-s2.0-84922282462ISBN: 978-3-319-10469-0 (print)ISBN: 978-3-319-10470-6 (electronic)OAI: oai:DiVA.org:kth-258856DiVA, id: diva2:1350253
Conference
International Conference on Medical Image Computing and Computer-Assisted Intervention
Note

QC 20191027

Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2019-10-27Bibliographically approved

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Wang, Chunliang
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CiteExportLink to record
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Citation style
  • apa
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