Towards production-level cardiac image analysis with grids

Ketan Maheshwari, Tristan Glatard, Joël Schaerer, Bertrand Delhay, Sorina Camarasu-Pop, Patrick Clarysse, Johan Montagnat

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

1 Scopus citations

Abstract

Production exploitation of cardiac image analysis tools is hampered by the lack of proper IT infrastructure in health institutions, the non trivial integration of heterogeneous codes in coherent analysis procedures, and the need to achieve complete automation of these methods. HealthGrids are promising technologies to address these difficulties. This paper details how they can be complemented by high level problem solving environments such as workflow managers to improve the performance of applications both in terms of execution time and robustness of results. Two of the most important important cardiac image analysis tasks are considered, namely myocardium segmentation and motion estimation in a 4D sequence. Results are shown on the corresponding pipelines, using two different execution environments on the EGEE grid production infrastructure.

Original languageEnglish
Title of host publicationHealthgrid Research, Innovation and Business Case - Proceedings of HealthGrid 2009
PublisherIOS Press
Pages31-40
Number of pages10
ISBN (Print)9781607500278
DOIs
StatePublished - 2009
Externally publishedYes
Event7th Annual HealthGrid Conference: Healthgrid Research, Innovation and Business Case, HealthGrid 2009 - Berlin, Germany
Duration: Jun 29 2009Jul 1 2009

Publication series

NameStudies in Health Technology and Informatics
Volume147
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference7th Annual HealthGrid Conference: Healthgrid Research, Innovation and Business Case, HealthGrid 2009
Country/TerritoryGermany
CityBerlin
Period06/29/0907/1/09

Keywords

  • Cardiac image analysis
  • Grid computing
  • Production
  • Workflow enactment

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