Infarct Segmentation Challenge on Delayed Enhancement MRI of the Left Ventricle

Rashed Karim, Piet Claus, Zhong Chen, R James Housden, Samantha Obom, Harminder Gill, YingLiang Ma, Prince Acheampong, Mark O'Neill, Reza Razavi, Kawal S Rhode

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

2 Citations (Scopus)


This paper presents collated results from the Delayed en-hancement MRI (DE-MRI) segmentation challenge as part of MICCAI 2012. DE-MRI Images from fifteen patients and fifteen pigs were randomly selected from two different imaging centres. Three independent sets of manual segmentations were obtained and included in this study. A ground truth consensus segmentation based on all human rater segmentations was obtained using an Expectation-Maximization (EM) method (the STAPLE method). Automated segmentations from five groups contributed to this challenge.
Original languageEnglish
Title of host publicationStatistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
Subtitle of host publicationThird International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers
EditorsOscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, Alistair Young
PublisherSpringer Verlag
ISBN (Electronic)978-3-642-36961-2
ISBN (Print)978-3-642-36960-5
Publication statusPublished - 2013

Publication series

NameLecture Notes in Computer Science


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