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Polyp Detection

Polyp Detection. Advisor ： Ku-Yaw Chang Speaker ： Hui -Chun Su. Outline. Introduction Method Method 1 Method 1-1 Method 1-2 Method 2 Method 3 Reference. Introduction. Crucial to prevent colon cancer. Polyp. Outline. Introduction Method Method 1 Method 1-1 Method 1-2 Method 2

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Polyp Detection

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  1. Polyp Detection Advisor： Ku-Yaw Chang Speaker： Hui-Chun Su

  2. Outline • Introduction • Method • Method 1 • Method 1-1 • Method 1-2 • Method 2 • Method 3 • Reference

  3. Introduction • Crucial to prevent colon cancer. Polyp

  4. Outline • Introduction • Method • Method 1 • Method 1-1 • Method 1-2 • Method 2 • Method 3 • Reference

  5. Method 1-1 • Use the Mean and Gaussian curvature • Computed by methods from differential geometry. • Source： [M. Summers et al., 2001].

  6. Method 1-1 • Triangle mesh (1)

  7. Method 1-1 • Triangle mesh (2)

  8. Method 1-1 • Used the shape index and curvedness • Source： [Yoshida et al., 2002]1, [Yoshida et al., 2002]2, [Yoshida et al., 2001]. SI、shape index CV、curvedness K1、maximum principal curvature k2、minimum principal curvature

  9. Method 1-1 • Advantage • High sensitivity of polyp detection. • Defect • Assuming that polyps manifest a cap-like shape. Special Cap-like

  10. Outline • Introduction • Method • Method 1 • Method 1-1 • Method 1-2 • Method 2 • Method 3 • Reference

  11. Method 1-2 • Streamlines of curvature • Source：[Zhao et al., 2006].

  12. Method 1-2 • Advantage • Enhancing visualization. • Defect • Principal curvature calculation.

  13. Method 1-2 • Polyp Cap & Polyp Neck Polyp cap Polyp neck

  14. Outline • Introduction • Method • Method 1 • Method 1-1 • Method 1-2 • Method 2 • Method 3 • Reference

  15. Method 2 • Use a sphere fitting method to generate candidates polyp • Source：[Kiss et al., 2005]. P0：頂點 r：半徑 C：中心點

  16. Method 2 • Advantage • Proposing robust 3D models to describe colonic polyps • Defect • Single scale statistical modeling

  17. Outline • Introduction • Method • Method 1 • Method 1-1 • Method 1-2 • Method 2 • Method 3 • Reference

  18. Method 3 • Heat diffusion • Source： [Konukoglu et al., 2007], [Konukoglu et al., 2005].

  19. Method 3 • Advantage • More easy to find the polyps. • Defect • The computational cost.(linear diffusion) previous current

  20. Outline • Introduction • Method • Method 1 • Method 1-1 • Method 1-2 • Method 2 • Method 3 • Reference

  21. Reference • Ronald M. Summers, C. Daniel Johnson, Lynne M. Pusanik, James D. Malley, Ashraf M. Youssef, Judd E. Reed. 2001. Automated Polyp Detection at CT Colonography: Feasibility Assessment in a Human Population. Radiology 2001; 219:51–59. • Hiroyuki Yoshida, Yoshitaka Masutani, Peter MacEneaney, David T. Rubin, Abraham H. Dachman. 2002. Computerized Detection of Colonic Polyps at CT Colonography on the Basis of Volumetric Features:Pilot Study. Radiology 2002; 222:327–336. • Hiroyuki Yoshida, JanneNaappi, Peter MacEneaney, David T. Rubin, Abraham H. Dachman. 2002. Computer-aided Diagnosis Scheme for Detection of Polyps at CT Colonography. RadioGraphics 2002; 22:963–979. • Hiroyuki Yoshida, JanneNappi. 2001. Three-Dimensional Computer-Aided Diagnosis Scheme for Detection of Colonic Polyps. IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 20, NO. 12, DECEMBER 2001. • Lingxiao Zhao, Charl P. Botha, Javier O. Bescos, RoelTruyen, Frans M. Vos, Frits H. Post. 2006. Lines of Curvature for Polyp Detection in Virtual Colonoscopy. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL. 12, NO. 5, SEPTEMBER/OCTOBER 2006.

  22. Reference • Gabriel Kiss, Johan Van Cleynenbreugel, StylianosDrisis, Didier Bielen, Guy Marchal, Paul Suetens. 2005. Computer Aided Detection for Low-Dose CT Colonography. In Proceedings of the Medical Image Computing and Computer-Assisted Intervention Conference(MICCAI), pages I–859, 2005. • E. Konukoglu, B. Acar. 2007. HDF: Heat diffusion fields for polyp detection in CT colonography. Signal Processing 87 (2007) 2407–2416. • E. Konukoglu, B. Acar, D. Paik, C. Beaulieu and S. Napel. 2005. Heat diffusion based detection of colonic polyps in CT colonography. Proceedings of EUSIPCO 2005 EURASIP, Antalya, Turkey (2005).

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