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Segmentation of Lumbar Intervertebral Discs from High-Resolution 3D MR Images Using Multi-level Statistical Shape Models

  • Aleš NeubertEmail author
  • Jurgen Fripp
  • Craig Engstrom
  • Stuart Crozier
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 17)

Abstract

Three-dimensional (3D) high resolution magnetic resonance (MR) scans of the lumbar spine provide relevant diagnostic information for lumbar intervertebral disc related disorders. Automated segmentation algorithms, such as active shape modelling, have the potential to facilitate the processing of the complex 3D MR data. An active shape model employs prior anatomical information about the segmented shapes that is typically described by standard principle component analysis. In this study, performance of this traditional statistical shape model was compared to that of a multi-level statistical shape model, incorporating the hierarchical structure of the spine. The mean Dice score coefficient, mean absolute square distance and Hausdorff distance obtained with the multi-level model were significantly better than those obtained with the traditional shape model. These initial results warrant further investigation of potential benefits that the multi-level statistical shape models can have in spine image analysis.

Keywords

Lumbar Spine Shape Model Hausdorff Distance Lumbar Intervertebral Disc Active Shape Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors would like to thank Dr. Duncan Walker for the radiological assessments. This research was supported under Australian Research Council’s linkage project funding scheme LP100200422.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Aleš Neubert
    • 1
    • 2
    Email author
  • Jurgen Fripp
    • 1
  • Craig Engstrom
    • 3
  • Stuart Crozier
    • 2
  1. 1.The Australian E-Health Research CentreCSIRO Computational InformaticsBrisbaneAustralia
  2. 2.School of Information Technology and Electrical EngineeringThe University of QueenslandBrisbaneAustralia
  3. 3.School of Human Movement StudiesThe University of QueenslandBrisbaneAustralia

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