Geometrical model-based segmentation of the organs of sight on CT images

Med Phys. 2008 Feb;35(2):735-43. doi: 10.1118/1.2826557.


Segmentation of organs of sight such as the eyeballs, lenses, and optic nerves is a time consuming task for clinicians. The small size of the organs and the similar density of the surrounding tissues make the segmentation difficult. We developed a new algorithm to segment these organs with minimal user interaction. The algorithm needs only three seed points to fit an initial geometrical model to start an effective segmentation. The clinical evaluation shows that the output of our method is useful in clinical practice.

Publication types

  • Evaluation Study

MeSH terms

  • Algorithms*
  • Computer Simulation
  • Eye / diagnostic imaging*
  • Humans
  • Imaging, Three-Dimensional / methods*
  • Models, Biological*
  • Pattern Recognition, Automated / methods*
  • Radiographic Image Enhancement / methods
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed / methods*