A Novel Colon Wall Flattening Model for Computed Tomographic Colonography: Method and Validation

  • Huafeng Wang
  • Lihong Li
  • Hao Han
  • Yunhong Wang
  • Weifeng Lv
  • Xianfeng Gu
  • Zhengrong Liang
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 13)


Computed tomographic colonography (CTC) has been developed for diagnosis of colon cancer. Flattening the three-dimensional (3D) colon wall into two-dimensional (2D) image is believed to be much effective for providing supplementary information to the endoscopic views and further facilitating colon registration, taniae coli (TC) detection, and haustral folds segmentation. Though the previously-used conformal mapping-based flattening methods can preserve the angle, it has limitations in providing accurate information of the 3D inner colon wall due to the lack of undulating topography. In this paper, we present a novel colon wall flattening method based on a 2.5D approach. Coupling with the conformal flattening model, the new approach builds an elevation distance map to depict the neighborhood characteristics of the inner colon wall. We validated the new method via two CTC applications: TC detection and haustral fold segmentation. Experimental results demonstrated the effectiveness of our model for CTC studies.


Conformal mapping 2.5D representation Colon wall Medical imaging Computed tomographic colonography 



This work was partially supported by the NIH/NCI under Grant #CA143111, #CA082402, and the PSC-CUNY award #65230-00 43.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Huafeng Wang
    • 1
    • 2
  • Lihong Li
    • 3
  • Hao Han
    • 1
  • Yunhong Wang
    • 4
  • Weifeng Lv
    • 4
  • Xianfeng Gu
    • 5
  • Zhengrong Liang
    • 1
  1. 1.Department of RadiologyStony Brook University Stony BrookUSA
  2. 2.School of SoftwareBeihang University of BeijingBeijingChina
  3. 3.College of Staten IslandVictory BlvdUSA
  4. 4.School of Computer ScienceBeihang University Of BeijingBeijingChina
  5. 5.Dept. of Computer ScienceStony Brook UniversityStony BrookUSA

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