Construction of a coronary artery atlas from CT angiography

Medrano-Gracia, PauDept. Anatomy with Radiology, University of Auckland, New Zealand (author)

QC 20191027
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.

Ormiston, JohnAuckland Heart Group, Auckland, New Zealand (author)
Webster, MarkAuckland City Hospital, Auckland, New Zealand (author)
Beier, SusannDept. Anatomy with Radiology, University of Auckland, New Zealand (author)
Ellis, ChrisAuckland Heart Group, Auckland, New Zealand (author)
Wang, Chunliang,1980-Linköpings universitet,Avdelningen för radiologiska vetenskaper,Hälsouniversitetet,Centrum för medicinsk bildvetenskap och visualisering, CMIV(Swepub:liu)chuwa53 (author)
Young, Alistair ADept. Anatomy with Radiology, University of Auckland, New Zealand (author)
Cowan, Brett RDept. Anatomy with Radiology, University of Auckland, New Zealand (author)
Dept. Anatomy with Radiology, University of Auckland, New ZealandAuckland Heart Group, Auckland, New Zealand (creator_code:org_t)

In:Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014Cham : Springer, s. 513-520

By the author/editor: Medrano-Gracia, ...; Ormiston, John; Webster, Mark; Beier, Susann; Ellis, Chris; Wang, Chunliang, ...; show more...; Young, Alistair ...; Cowan, Brett R; show less...

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Medical Engineer ...; and Medical Image Pr ...

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