Left ventricular segmentation challenge from cardiac MRI: A collation study

Avan Suinesiaputra*, Brett R. Cowan, J. Paul Finn, Carissa G. Fonseca, Alan H. Kadish, Daniel C. Lee, Pau Medrano-Gracia, Simon K. Warfield, Wenchao Tao, Alistair A. Young

*Corresponding author for this work

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

36 Scopus citations

Abstract

This paper presents collated results from the left ventricular (LV) cardiac MRI segmentation challenge as part of STACOM'11. Clinical cases from patients with myocardial infarction (100 test and 100 validation cases) were randomly selected from the Cardiac Atlas Project (CAP) database. Two independent sets of expert (manual) segmentation from different sources that are available from the CAP database were included in this study. Automated segmentations from five groups were contributed in the challenge. The total number of cases with segmentations from all seven raters was 18. For these cases, a ground truth "consensus" segmentation was estimated based on all raters using an Expectation-Maximization (EM) method (the STAPLE algorithm).

Original languageEnglish (US)
Title of host publicationStatistical Atlases and Computational Models of the Heart
Subtitle of host publicationImaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers
Pages88-97
Number of pages10
DOIs
StatePublished - Mar 21 2012
Event2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011 - Toronto, ON, Canada
Duration: Sep 22 2011Sep 22 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7085 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011
Country/TerritoryCanada
CityToronto, ON
Period9/22/119/22/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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