Semi-Automatic Left Ventricle Model Generation

Bogdan Milicevic, Milian Milosevic, Vladimir Simic, Danijela Trifunovic, Nenad Filipovic, Milos Kojic

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

Abstract

Most cardiac diseases and disorders occur in the left ventricle. Numerical methods can give an insight into the mechanical response of the left ventricle under different conditions, before the execution of clinical trials and experiments. Before we use the finite element method to analyze the behavior of the left ventricle, a geometrical model has to be generated. In our work, we generated a left ventricle model from echocardiographic data. We manually extracted contours of the inner and outer surface of the left ventricle and applied our algorithm to generate the 3D model. This semi-automatic model generation enables the usage of patient-specific geometries for finite element analysis of the left ventricle.

Original languageEnglish (US)
Title of host publicationBIBE 2021 - 21st IEEE International Conference on BioInformatics and BioEngineering, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665442619
DOIs
StatePublished - 2021
Event21st IEEE International Conference on BioInformatics and BioEngineering, BIBE 2021 - Kragujevac, Serbia
Duration: Oct 25 2021Oct 27 2021

Publication series

NameBIBE 2021 - 21st IEEE International Conference on BioInformatics and BioEngineering, Proceedings

Conference

Conference21st IEEE International Conference on BioInformatics and BioEngineering, BIBE 2021
Country/TerritorySerbia
CityKragujevac
Period10/25/2110/27/21

Keywords

  • cardiac cycle
  • cardiac muscle fibers
  • echocardiograms
  • left ventricle
  • model generation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Biomedical Engineering
  • Health Informatics

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