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Infarct Segmentation Challenge on Delayed Enhancement MRI of the Left Ventricle

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Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (STACOM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7746))

Abstract

This paper presents collated results from the Delayed Enhancement MRI (DE-MRI) segmentation challenge at 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 for each image 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.

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Author information

Authors and Affiliations

  1. Division of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom

    Rashed Karim, Zhong Chen, R. James Housden, Samantha Obom, Harminder Gill, YingLiang Ma, Prince Acheampong, Mark O’Neill, Reza Razavi, Tobias Schaeffter & Kawal S. Rhode

  2. Department of Cardiology, Guy’s and St. Thomas’ NHS Foundation Trust, London, United Kingdom

    Zhong Chen, Mark O’Neill & Reza Razavi

  3. Cardiovascular Imaging and Dynamics, Department of Cardiovascular Sciences, KULeuven, Leuven, Belgium

    Piet Claus

Authors
  1. Rashed Karim
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  2. Piet Claus
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  3. Zhong Chen
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  4. R. James Housden
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  5. Samantha Obom
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  6. Harminder Gill
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  7. YingLiang Ma
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  8. Prince Acheampong
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  9. Mark O’Neill
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  10. Reza Razavi
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  11. Tobias Schaeffter
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  12. Kawal S. Rhode
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Editor information

Editors and Affiliations

  1. Department of Information and Communication, Universitat Pompeu Fabra, Roc Boronat 138, 08018, Barcelona, Spain

    Oscar Camara

  2. Siemens Corporate Research, 755 College Road East, 08540, Princeton, NJ, USA

    Tommaso Mansi

  3. Sunnybrook Health Science Centre, Department of Medical Biophsics, University of Toronto, 2075 Bayview Avenue, M4N 3M5, Toronto, ON, Canada

    Mihaela Pop

  4. School of Medicine, Department of Medical Engineering and Physics, King’s College Hospital, Faraday Building, SE5 9RS, Lonon, UK

    Kawal Rhode

  5. INRIA Sophia Antipolis, Asclepios Research Project, 2004 Route des Lucioles, BP 03, 06902, Sophia Antipolis Cedex, France

    Maxime Sermesant

  6. Faculty of Medical and Halth Sciences, Department of Anatomy with Radiology, University of Auckland, Grafton Campus, Building 502, Auckland, New Zealand

    Alistair Young

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© 2013 Springer-Verlag Berlin Heidelberg

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Karim, R. et al. (2013). Infarct Segmentation Challenge on Delayed Enhancement MRI of the Left Ventricle. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2012. Lecture Notes in Computer Science, vol 7746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36961-2_12

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  • DOI: https://doi.org/10.1007/978-3-642-36961-2_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36960-5

  • Online ISBN: 978-3-642-36961-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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