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 2

Introduction  Crucial to prevent colon cancer. Polyp 3

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

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

Method  Triangle mesh (1)

Method  Triangle mesh (2)

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

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

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

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

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

Method  Polyp Cap & Polyp Neck Polyp cap Polyp neck

Outline  Introduction  Method  Method 1  Method 1-1  Method 1-2  Method 2  Method 3  Reference 14

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

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

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

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

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

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

Reference  Ronald M. Summers, C. Daniel Johnson, Lynne M. Pusanik, James D. Malley, Ashraf M. Youssef, Judd E. Reed 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 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 Computer-aided Diagnosis Scheme for Detection of Polyps at CT Colonography. RadioGraphics 2002; 22:963–979.  Hiroyuki Yoshida, Janne Nappi Three-Dimensional Computer-Aided Diagnosis Scheme for Detection of Colonic Polyps. IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 20, NO. 12, DECEMBER  Lingxiao Zhao, Charl P. Botha, Javier O. Bescos, Roel Truyen, Frans M. Vos, Frits H. Post Lines of Curvature for Polyp Detection in Virtual Colonoscopy. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL. 12, NO. 5, SEPTEMBER/OCTOBER

Reference  Gabriel Kiss, Johan Van Cleynenbreugel, Stylianos Drisis, Didier Bielen, Guy Marchal, Paul Suetens Computer Aided Detection for Low-Dose CT Colonography. In Proceedings of the Medical Image Computing and Computer-Assisted Intervention Conference(MICCAI), pages I–859,  E. Konukoglu, B. Acar 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 Heat diffusion based detection of colonic polyps in CT colonography. Proceedings of EUSIPCO 2005 EURASIP, Antalya, Turkey (2005). 22

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