Impact of hemodynamics on lumen boundary displacements in abdominal aortic aneurysms by means of dynamic computed tomography and computational fluid dynamics

Marina Piccinelli, Christian Vergara, Luca Antiga, Laura Forzenigo, Pietro Biondetti, Maurizio Domanin

Research output: Contribution to journalArticle

Abstract

The aim of the present work is to quantitatively assess the three-dimensional distributions of the displacements experienced during the cardiac cycle by the luminal boundary of abdominal aortic aneurysm (AAA) and to correlate them with the local bulk hemodynamics. Ten patients were acquired by means of time resolved computed tomography, and each patient-specific vascular morphology was reconstructed for all available time frames. The AAA lumen boundary motion was tracked, and the lumen boundary displacements (LBD) computed for each time frame. The intra-aneurysm hemodynamic quantities, specifically wall shear stress (WSS), were evaluated with computational fluid dynamics simulations. Co-localization of LBD and WSS distributions was evaluated by means of Pearson correlation coefficient. A clear anisotropic distribution of LBD was evidenced in both space and time; a combination of AAA lumen boundary inward- and outward-directed motions was assessed. A co-localization between largest outward LBD and high WSS was demonstrated supporting the hypothesis of a mechanistic relationship between anisotropic displacement and hemodynamic forces related to the impingement of the blood on the lumen boundary. The presence of anisotropic displacement of the AAA lumen boundary and their link to hemodynamic forces have been assessed, highlighting a new possible role for hemodynamics in the study of AAA progression.

Original languageEnglish
Pages (from-to)1263-1276
Number of pages14
JournalBiomechanics and Modeling in Mechanobiology
Volume12
Issue number6
DOIs
Publication statusPublished - Nov 2013

Keywords

  • Abdominal aortic aneurysm
  • Computational hemodynamics
  • Time resolved computed tomography

ASJC Scopus subject areas

  • Biotechnology
  • Mechanical Engineering
  • Modelling and Simulation

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