Improved centerline tracking for new descriptors of atherosclerotic aortas

Hugo Gangloff, Emmanuel Monfrini, Mohamed Zied Ghariani, Mickaël Ohana, Christophe Collet, Nabil Chakfé

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To develop more patient specific treatments we need to collect and understand a growing set of data about the patient. In the context of the atherosclerotic aortic bifurcation, following recent developments in clinical research, we propose new objective mathematical descriptors of the patient vascular morphology. These descriptors can be automatically extracted thanks to a robust centerline extraction algorithm also presented in this article and that is dedicated to the processing of noisy meshes. We show that these descriptors can provide new vizualization tools built from segmented CT scans.

Original languageEnglish (US)
Title of host publication2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728187501
DOIs
StatePublished - Nov 9 2020
Event10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020 - Virtual, Paris, France
Duration: Nov 9 2020Nov 12 2020

Publication series

Name2020 10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020

Conference

Conference10th International Conference on Image Processing Theory, Tools and Applications, IPTA 2020
CountryFrance
CityVirtual, Paris
Period11/9/2011/12/20

Keywords

  • centerline extraction
  • data visualization
  • image processing and analysis
  • patient specific medecine

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Improved centerline tracking for new descriptors of atherosclerotic aortas'. Together they form a unique fingerprint.

Cite this