Polyp DetectionAdvisor ： 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 indexCV、 curvednessK1、maximum principal curvaturek2、minimum principal curvature

9

Method 1-1 Advantage

High sensitivity of polyp detection. Defect

Assuming that polyps manifest a cap-like shape.

Cap-like

Special

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, 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.

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).

23

The end