Cardiac modelling for pathophysiology research and clinical applications. The need for an automated pipeline

R. Sebastian*, V. Zimmerman, F. Sukno, B. B. Bijnens, A. F. Frangi

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

A flexible pipeline for construction of computer models for electrophysiology simulation is presented. It allows the construction of 3D FEM models from clinical images with little user interaction. The processing pipeline allows to segment a patient-specific heart geometry from a scan data set, mesh it, and include the necessary functional structures to build a computational model. This structures include approximated fiber orientation and generic fast conduction system. The pipeline is expected to be used to construct models for study heart electrophysiology with special emphasis in cardiac resynchronization therapy in the context of the euHeart project. This framework will allow processing cases to perform clinical in a systematic and fast way.

Original languageEnglish
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Subtitle of host publicationImage Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
PublisherSpringer-Verlag Italia
Pages2207-2210
Number of pages4
Edition4
ISBN (Print)9783642038815
DOIs
Publication statusPublished - 2009
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: 7 Sept 200912 Sept 2009

Publication series

NameIFMBE Proceedings
Number4
Volume25
ISSN (Print)1680-0737

Conference

ConferenceWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Country/TerritoryGermany
CityMunich
Period7/09/0912/09/09

Keywords

  • Cardiac electrophysiology
  • Cardiac microstructures
  • Cardiac resynchronization therapy
  • Heart segmentation

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