Statistical shape representation of the thoracic aorta: accounting for major branches of the aortic arch

Hadi Wiputra, Shion Matsumoto, Jessica E. Wagenseil, Alan C. Braverman, Rochus K. Voeller, Victor H. Barocas

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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 (US)
Pages (from-to)1557-1571
Number of pages15
JournalComputer methods in biomechanics and biomedical engineering
Volume26
Issue number13
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© 2022 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • Thoracic aorta
  • computational fluid dynamics
  • statistical shape modeling

PubMed: MeSH publication types

  • Journal Article

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