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Segmentation Challenge on the Quantification of Left Atrial Wall Thickness

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Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (STACOM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10124))

Abstract

This paper presents an image database for the Left Atrial Wall Thickness Quantification challenge at the MICCAI STACOM 2016 workshop along with some preliminary results. The image database consists of both CT (\(n=10\)) and MRI (\(n=10\)) datasets. Expert delineations from two observers were obtained for each image in the CT set and a single-observer segmentation was obtained for each image in the MRI set included in this study. Computer algorithms for segmentation of wall thickness from three research groups contributed to this challenge. The algorithms were evaluated on the basis of wall thickness measurements obtained from the segmentation masks.

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Acknowledgements

This research was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.

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Authors and Affiliations

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

    Rashed Karim, Marta Varela, Ross Morgan, Jonathan M. Behar, R. James Housden, Oleg Aslanidi & Kawal S. Rhode

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

    Jonathan M. Behar & Ronak Rajani

  3. Haga Teaching Hospital, The Hague, The Netherlands

    Pranav Bhagirath

Authors
  1. Rashed Karim
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  2. Marta Varela
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  3. Pranav Bhagirath
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  4. Ross Morgan
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  5. Jonathan M. Behar
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  6. R. James Housden
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  7. Ronak Rajani
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  8. Oleg Aslanidi
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  9. Kawal S. Rhode
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Corresponding author

Correspondence to Rashed Karim .

Editor information

Editors and Affiliations

  1. Siemens Medical Solutions, Medical Imaging Technologies, Princeton, New Jersey, USA

    Tommaso Mansi

  2. Simula Research Laboratory, Oslo, Norway

    Kristin McLeod

  3. Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada

    Mihaela Pop

  4. Imaging Sciences and Biomedical Engineering, Rayne Institute, King’s College London, London, United Kingdom

    Kawal Rhode

  5. Inria, Asclepios Project, Sophia-Antipolis, France

    Maxime Sermesant

  6. Department of Radiology, Faculty of Medical and Health Sciences, Auckland University, Auckland, New Zealand

    Alistair Young

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Karim, R. et al. (2017). Segmentation Challenge on the Quantification of Left Atrial Wall Thickness. In: Mansi, T., McLeod, K., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2016. Lecture Notes in Computer Science(), vol 10124. Springer, Cham. https://doi.org/10.1007/978-3-319-52718-5_21

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  • DOI: https://doi.org/10.1007/978-3-319-52718-5_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52717-8

  • Online ISBN: 978-3-319-52718-5

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