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 2

3. Introduction  Crucial to prevent colon cancer. Polyp 3

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

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

6. Method 1-1 6  Triangle mesh (1)

7. Method 1-1 7  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 K 1 、 maximum principal curvature k 2 、 minimum principal curvature 8

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

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

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

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

13. Method 1-2 13  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 14

15. Method 2  Use a sphere fitting method to generate candidates polyp  Source ： [Kiss et al., 2005]. P 0 ：頂點 r ：半徑 C ：中心點 15

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

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

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

19. Method 3  Advantage  More easy to find the polyps.  Defect  The computational cost.(linear diffusion) 19 previouscurrent

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

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, Janne Naappi, 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, Janne Nappi. 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, Roel Truyen, 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. 21

22. Reference  Gabriel Kiss, Johan Van Cleynenbreugel, Stylianos Drisis, 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). 22

23. The end 23