Journal of Northeastern University ›› 2011, Vol. 32 ›› Issue (3): 340-343+351.DOI: -

• OriginalPaper • Previous Articles     Next Articles

A highly automatic lumbar vertebrae segmentation method using 3D CT data

Zhao, Kai (1); Wang, Zhi-Qiong (2); Kang, Yan (2); Zhao, Hong (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China; (2) School of Sino-Dutch Biomedical and Information Engineering, Northeastern University, Shenyang 110819, China; (3) National Engineering Research Center for Digital Medical Imaging Device, Shenyang 110179, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Kang, Y.
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Abstract: Computer image processing technology is commonly used in clinical diagnoses of lumbar vertebrae problems and in medical research to segment single lumbar vertebrae with 3D CT images. Problems with existing segmentation methods include the inability to completely segment, failure to process all the data, or an excessive need for hand labor. A new method was proposed to segment individual lumber vertebrae using CT images. The entire backbone is first segmented from CT images, and then each single centrum and intervertebral facet joints are disconnected, thereby segmenting out the lumbar vertebra of interest. Evaluation using real data and synthetic data indicate a successful highly automatic segmentation of single lumbar vertebrae. This method provides doctors with an important means of computer-aided diagnosis, as well as being useful in biomechanics and other fields of research.

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