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International Workshop on Statistical Atlases and Computational Models of the Heart

STACOM 2016: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges pp 201–210Cite as

Left Atrial Wall Segmentation Using Clinically Correlated Metrics

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

Abstract

The thickness of the left atrium wall may be an important parameter in atrial fibrillation disease mechanisms and subsequent treatment by catheter ablation. We have previously developed a simple, threshold-based, direct wall thickness measure from CT that has been found to correlate with clinical outcomes. In this paper, we describe the application of this method to the segmentation of the left atrium wall in the 2016 STACOM Left Atrium Wall Thickness Challenge.

Our original method sought to partially automate the way a clinical researcher manually measures left atrial wall thickness to increase precision and repeatability. We have adapted our method to create a segmented volume instead of individual measurements in order to meet the challenge goals. We apply the method to the ten contrast-enhanced CT images provided.

Keywords

  • Left atrium
  • Wall thickness
  • Segmentation
  • CT

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Acknowledgements

This research was funded in part by Canadian Institutes for Health Research (CIHR) grant #27790.

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Authors and Affiliations

  1. Robarts Research Institute, Western University, London, Canada

    Jiro Inoue & Maria Drangova

Authors
  1. Jiro Inoue
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  2. Maria Drangova
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Corresponding author

Correspondence to Jiro Inoue .

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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Inoue, J., Drangova, M. (2017). Left Atrial Wall Segmentation Using Clinically Correlated Metrics. 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_22

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  • DOI: https://doi.org/10.1007/978-3-319-52718-5_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52717-8

  • Online ISBN: 978-3-319-52718-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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