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Construction of a Coronary Artery Atlas from CT Angiography

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Abstract

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.

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Author information

Authors and Affiliations

  1. Dept. Anatomy with Radiology, University of Auckland, New Zealand

    Pau Medrano-Gracia, Susann Beier, Alistair A. Young & Brett R. Cowan

  2. Auckland Heart Group, Auckland, New Zealand

    John Ormiston & Chris Ellis

  3. Auckland City Hospital, Auckland, New Zealand

    Mark Webster

  4. Center for Medical Image Science and Vis., Linköping University Hospital, Sweden

    Chunliang Wang

Authors
  1. Pau Medrano-Gracia

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  2. John Ormiston

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  3. Mark Webster

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  4. Susann Beier

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  5. Chris Ellis

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  6. Chunliang Wang

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  7. Alistair A. Young

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  8. Brett R. Cowan

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Editor information

Editors and Affiliations

  1. MIT CSAIL, 32 Vassar Street, 02139, Cambridge, MA, USA

    Polina Golland

  2. Department of Radiology, Brigham and Women’s Hospital, 75 Francis St., 02115, Boston, MA, USA

    Nobuhiko Hata

  3. IRISA, CNRS/Inria Research Unit Visages, Campus Universitaire de Beaulieu, 35042, Rennes Cedex, France,

    Christian Barillot

  4. Pattern Recognition Lab, University Erlangen-Nuremberg, Martensstr. 3, 91058, Erlangen, Germany

    Joachim Hornegger

  5. Harvard School of Engineering and Applied Sciences, 323 Pierce Hall, 29 Oxford Street, 02138, Cambridge, MA, USA

    Robert Howe

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Medrano-Gracia, P.et al. (2014). Construction of a Coronary Artery Atlas from CT Angiography. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. MICCAI 2014. Lecture Notes in Computer Science, vol 8674. Springer, Cham. https://doi.org/10.1007/978-3-319-10470-6_64

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