Embed Size (px)
DESCRIPTION
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 - PowerPoint PPT Presentation
Citation preview
Polyp DetectionAdvisor ： Ku-Yaw ChangSpeaker ： 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
