Statistical shape modeling (SSM) is an emerging tool for risk assessment of thoracic aortic aneurysm. However, the head branches of the aortic arch are often excluded in SSM. We introduced an SSM strategy based on principal component analysis that accounts for aortic branches and applied it to a set of patient scans. Computational fluid dynamics were performed on the reconstructed geometries to identify the extent to which branch model accuracy affects the calculated wall shear stress (WSS) and pressure. Surface-averaged and location-specific values of pressure did not change significantly, but local WSS error was high near branches when inaccurately modeled.

Original languageEnglish
Pages (from-to)1557-1571
Number of pages15
JournalComputer Methods in Biomechanics and Biomedical Engineering
Issue number13
StatePublished - 2023


  • Thoracic aorta
  • computational fluid dynamics
  • statistical shape modeling


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