An Improved Shape-Constrained Deformable Model for Segmentation of Vertebrae from CT Lumbar Spine Images

  • Robert KorezEmail author
  • Bulat Ibragimov
  • Boštjan Likar
  • Franjo Pernuš
  • Tomaž Vrtovec
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 20)


Accurate and robust segmentation of spinal and vertebral structures from medical images is a challenging task due to a relatively high degree of anatomical complexity and articulation of spinal structures, as well as due to image spatial resolution, inhomogeneity and low signal-to-noise ratio. In this paper, we describe an improved framework for vertebra segmentation that is based on an existing shape-constrained deformable model, which was modified with the aim to improve segmentation accuracy, and combined with a robust initialization that results from vertebra detection by interpolation-based optimization. The performance of the proposed segmentation framework was evaluated on \(10\) computed tomography (CT) images of the lumbar spine. The overall segmentation performance of \(0.43\,{\pm }\,0.14\) mm in terms of mean symmetric absolute surface distance and \(93.76\,{\pm }\,1.61\,\%\) in terms of Dice coefficient, computed against corresponding reference vertebra segmentations, indicates that the proposed framework can accurately segment vertebrae from CT images of the lumbar spine.


Lumbar Spine Shape Model Dice Coefficient March Cube Algorithm Segmentation Framework 
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.



This work was supported by the Slovenian Research Agency (ARRS) under grants P2-0232 and L2-4072.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Robert Korez
    • 1
    Email author
  • Bulat Ibragimov
    • 1
  • Boštjan Likar
    • 1
  • Franjo Pernuš
    • 1
  • Tomaž Vrtovec
    • 1
  1. 1.Faculty of Electrical EngineeringUniversity of LjubljanaLjubljanaSlovenia

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