GIMIAS: An open source framework for efficient development of research tools and clinical prototypes

Ignacio Larrabide*, Pedro Omedas, Yves Martelli, Xavier Planes, Maarten Nieber, Juan A. Moya, Constantine Butakoff, Rafael Sebastián, Oscar Camara, Mathieu De Craene, Bart H. Bijnens, Alejandro F. Frangi

*Corresponding author for this work

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

Abstract

GIMIAS is a workflow-oriented environment for addressing advanced biomedical image computing and build personalized computational models, which is extensible through the development of application-specific plug-ins. In addition, GIMIAS provides an open source framework for efficient development of research and clinical software prototypes integrating contributions from the Virtual Physiological Human community while allowing business-friendly technology transfer and commercial product development. This framework has been fully developed in ANSI-C++ on top of well known open source libraries like VTK, ITK and wxWidgets among others. Based on GIMIAS, in this paper is presented a workflow for medical image analysis and simulation of the heart.

Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart - 5th International Conference, FIMH 2009, Proceedings
Pages417-426
Number of pages10
DOIs
Publication statusPublished - 2009
Event5th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2009 - Nice, France
Duration: 3 Jun 20095 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5528
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2009
Country/TerritoryFrance
CityNice
Period3/06/095/06/09

Keywords

  • Biomedical imaging
  • Cardiovascular modeling
  • Open source software
  • Personalized simulations
  • Virtual Physiological Human

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