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Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation

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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

Discectomy procedure simulations require patient-specific and robust three-dimensional representation of vertebral and intervertebral disc structures, as well as existing pathology, of the lumbar spine. Prior knowledge, such as expected shape and variation within a sample population, can be incorporated through statistical shape models to optimize the image segmentation process. This paper describes a framework for construction of statistical shape models (SSMs) of nine L1 vertebrae and eight L1-L2 intervertebral discs from computed tomography and magnetic resonance (MR) images respectively. The generated SSMs are utilized as a reference for knowledge-based priors to optimize coarse-to-fine multi-surface segmentation of vertebrae and intervertebral discs in volumetric MR images. Correspondence between instances within each model has been established using entropy-based energy minimization of particles on the image surfaces, which is independent of any reference bias or surface parameterization techniques. The resulting shape models faithfully capture variability within the first seven principal modes.

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Notes

  1. 1.

    http://www.sci.utah.edu/software/shapeworks.html.

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Author information

Authors and Affiliations

  1. Old Dominion University, Norfolk, USA

    Rabia Haq & Michel A. Audette

  2. University of Utah, Salt Lake City, USA

    Joshua Cates

  3. Naval Medical Center Portsmouth, Portsmouth, USA

    David A. Besachio & Roderick C. Borgie

Authors
  1. Rabia Haq
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  2. Joshua Cates
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  3. David A. Besachio
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  4. Roderick C. Borgie
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  5. Michel A. Audette
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Corresponding author

Correspondence to Rabia Haq .

Editor information

Editors and Affiliations

  1. University of Ljubljana, Ljubljana, Slovenia

    TomaĹľ 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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Haq, R., Cates, J., Besachio, D.A., Borgie, R.C., Audette, M.A. (2016). Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation. 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_8

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  • DOI: https://doi.org/10.1007/978-3-319-41827-8_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41826-1

  • Online ISBN: 978-3-319-41827-8

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