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3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs

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Computational Methods and Clinical Applications for Spine Imaging (CSI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9402))

Abstract

Segmentation of intervertebral discs from three-dimensional magnetic resonance images is a challenging problem with numerous medical applications. In this paper we describe a fully automated segmentation method based on a conditional random field operating on supervoxels. A mean Dice score of \(90\pm 3\) % was obtained on data provided for the intervertebral disc localisation and segmentation challenge in conjunction with the 3rd MICCAI Workshop & Challenge on Computational Methods and Clinical Applications for Spine Imaging - MICCAI–CSI2015.

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Notes

  1. 1.

    Separate dictionaries are used to encode patches at different levels of the pyramid.

  2. 2.

    Available from the SpineWeb: http://spineweb.digitalimaginggroup.ca.

References

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Acknowledgements

We are grateful to the organisers of the challenge and to the SpineWeb initiative for making the data available.

Author information

Authors and Affiliations

  1. University of Exeter, Exeter, UK

    Hugo Hutt, Richard Everson & Judith Meakin

Authors
  1. Hugo Hutt
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  2. Richard Everson
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  3. Judith Meakin
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Corresponding author

Correspondence to Hugo Hutt .

Editor information

Editors and Affiliations

  1. University of Ljubljana, Ljubljana, Slovenia

    Tomaž Vrtovec

  2. National Institutes of Health, Bethesda, Maryland, USA

    Jianhua Yao

  3. Imperial College London, London, United Kingdom

    Ben Glocker

  4. Philips GmbH Innovative Technologies, Hamburg, Hamburg, Germany

    Tobias Klinder

  5. University of Sheffield, Sheffield, United Kingdom

    Alejandro Frangi

  6. University of Bern, Bern, Switzerland

    Guoyan Zheng

  7. University of Western Ontario, London, Ontario, Canada

    Shuo Li

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© 2016 Springer International Publishing Switzerland

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Hutt, H., Everson, R., Meakin, J. (2016). 3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs. In: Vrtovec, T., et al. Computational Methods and Clinical Applications for Spine Imaging. CSI 2015. Lecture Notes in Computer Science(), vol 9402. Springer, Cham. https://doi.org/10.1007/978-3-319-41827-8_12

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  • DOI: https://doi.org/10.1007/978-3-319-41827-8_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41826-1

  • Online ISBN: 978-3-319-41827-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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