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Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion

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Book cover Computational Methods and Clinical Applications for Spine Imaging (CSI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10182))

Abstract

An accurate method for localising and segmenting intervertebral discs in magnetic resonance (MR) spine imaging is presented. Atlas-based labelling of discs in MRI is challenging due to the small field of view and repetitive structures, which may cause the image registration to converge to a local minimum. To tackle this initialisation problem, our approach uses Vantage Point Hough Forests to automatically and robustly regress landmark positions, which are used to initialise a discrete deformable registration of all training images. An image-adaptive fusion of propagated segmentation labels is obtained by non-negative least-squares regression. Despite its simplicity and without using specific domain knowledge, our approach achieves sub-voxel localisation accuracy of 0.61 mm, Dice segmentation overlaps of nearly 90% (for the training data) and takes less than ten minutes to process a new scan.

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Notes

  1. 1.

    http://spineweb.digitalimaginggroup.ca.

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Author information

Authors and Affiliations

  1. Institute of Medical Informatics, University of Lübeck, Lübeck, Germany

    Mattias P. Heinrich

  2. Biomedical Image Analysis Group, Imperial College London, London, UK

    Ozan Oktay

Authors
  1. Mattias P. Heinrich
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  2. Ozan Oktay
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Corresponding author

Correspondence to Mattias P. Heinrich .

Editor information

Editors and Affiliations

  1. National Institutes of Health , Bethesda, Massachusetts, USA

    Jianhua Yao

  2. University of Ljubljana , Ljubljana, Slovenia

    Tomaž Vrtovec

  3. University of Bern , Bern, Switzerland

    Guoyan Zheng

  4. University of Sheffield , Sheffield, United Kingdom

    Alejandro Frangi

  5. Imperial College London , London, United Kingdom

    Ben Glocker

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

    Shuo Li

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© 2016 Springer International Publishing AG

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Heinrich, M.P., Oktay, O. (2016). Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion. In: Yao, J., Vrtovec, T., Zheng, G., Frangi, A., Glocker, B., Li, S. (eds) Computational Methods and Clinical Applications for Spine Imaging. CSI 2016. Lecture Notes in Computer Science(), vol 10182. Springer, Cham. https://doi.org/10.1007/978-3-319-55050-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-55050-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55049-7

  • Online ISBN: 978-3-319-55050-3

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