A robust construction algorithm of the centerline skeleton for complex aortic vascular structure using computational fluid dynamics

Julien Touati, Marco Bologna, Adeline Schwein, Francesco Migliavacca, Marc Garbey

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Centerlines of blood vessels are useful tools to make important anatomical measurements (length, diameter, area), which cannot be accurately obtained using 2D images. In this paper a brand new method for centerline extraction of vascular trees is presented. By using computational fluid dynamics (CFD) we are able to obtain a robust and purely functional centerline allowing us to support better measurements than classic purely geometrical-based centerlines. We show that the CFD-based centerline is within a few pixels from the geometrical centerline where the latter is defined (far away from inlet/outlets and from the branches). We show that the centerline computed with our method is not affected by traditional errors of other classical volume-based algorithms such as topological thinning, and could be a potential alternative to be considered for future studies.

Original languageEnglish (US)
Pages (from-to)6-17
Number of pages12
JournalComputers in Biology and Medicine
Volume86
DOIs
StatePublished - Jul 1 2017

Keywords

  • Abdominal aortic aneurysm
  • Centerline
  • Computational fluid dynamics
  • Computed tomography
  • Image segmentation

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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