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

  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},
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
Highly Cited
This paper has 161 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 56 extracted citations

Pulmonary Lobe Segmentation in CT Examinations Using Implicit Surface Fitting

IEEE Transactions on Medical Imaging • 2009
View 4 Excerpts
Highly Influenced

Automatic pulmonary fissure detection and lobe segmentation in CT chest images

Biomedical engineering online • 2014
View 4 Excerpts
Method Support
Highly Influenced

Automatic recognition of major fissures in human lungs

International Journal of Computer Assisted Radiology and Surgery • 2011
View 3 Excerpts
Highly Influenced

162 Citations

Citations per Year
Semantic Scholar estimates that this publication has 162 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 43 references

Atlas-driven pulmonary lobe segmentation in volumetric X-ray CT images

L. Zhang, E. A. Hoffman, J. M. Reinhardt
IEEE Trans. Med. Imag., vol. 25, no. 1, pp. 1–16, Jan. 2006. • 2006
View 2 Excerpts