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Automated Vertebra Identification from X-Ray Images

  • Xiao Dong
  • Guoyan Zheng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6112)

Abstract

Automated identification of vertebra bodies from medical images is important for further image processing tasks. This paper presents a graphical model based solution for the vertebra identification from X-ray images. Compared with the existing graphical model based methods, the proposed method does not ask for a training process using training data and it also has the capability to automatically determine the number of vertebrae visible in the image. Experiments on digitially reconstructed radiographs of twenty-one cadaver spine segments verified its performance.

Keywords

Vertebra Body Graphical Model Observation Model Spine Segment Inference Procedure 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Xiao Dong
    • 1
  • Guoyan Zheng
    • 1
  1. 1.Institute for Surgical Technology and BiomecnahicsUniversity of BernBernSwitzerland

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