A Computational Geometry Approach to Automated Pulmonary Fissure Segmentation in CT Examinations

@article{Pu2009ACG,
  title={A Computational Geometry Approach to Automated Pulmonary Fissure Segmentation in CT Examinations},
  author={Jiantao Pu and Joseph K. Leader and Bin Zheng and Friedrich D Knollmann and Carl Fuhrman and Frank C. Sciurba and David Gur},
  journal={IEEE Transactions on Medical Imaging},
  year={2009},
  volume={28},
  pages={710-719}
}
Identification of pulmonary fissures, which form the boundaries between the lobes in the lungs, may be useful during clinical interpretation of computed tomography (CT) examinations to assess the early presence and characterization of manifestation of several lung diseases. Motivated by the unique nature of the surface shape of pulmonary fissures in 3-D space, we developed a new automated scheme using computational geometry methods to detect and segment fissures depicted on CT images. After a… CONTINUE READING
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