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Keynote Lectures - CTC technologies and clinical practice: past, present, and future |
9:00 am - 12:00 pm |
0 |
9:00–9:10 |
Welcome |
H. Yoshida |
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1 |
9:10–9:35 |
CTC in clinical practice: current status and future perspective |
S. Gryspeedt |
Stedelijk Ziekenhuis, Belgium |
2 |
9:35–10:00 |
CTC visualization techniques: past, present, and future |
K. Mueller / A. Kaufman |
Stony Brook U, USA |
3 |
10:00–10:25 |
Visualization methods in CTC: clinical relevance |
E. Neri |
U of Pisa, Italy |
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break |
10:25 am - 10:45 am |
4 |
10:45–11:10 |
CAD techniques: past, present, and future |
J. Näppi / H. Yoshida |
MGH/Harvard, USA |
5 |
11:10–10:35 |
Impact of CAD on CTC in the clinical workflow |
D. Regge |
ICRT Torino, Italy |
6 |
10:35–12:00 |
EC techniques: past, present, and future |
J. Liang |
SUNY, USA |
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Lunch |
12:00 pm - 1:00 pm |
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CAD 1 |
1:00 pm - 2:30 pm |
7 |
1:00–1:15 |
Detection of polyps via shape and appearance modeling |
P. Mendonca |
GE, USA |
8 |
1:15–1:30 |
Colon cancer polyp detection: calculating curvature using Deriche filters and interpolation |
J. Liu |
NIH, USA |
9 |
1:30–1:45 |
CAD of colonic polyps with a limited anisotropic diffusion in volumetric mucosa |
H. Zhu |
SUNY, USA |
10 |
1:45–2:00 |
Computer-aided polyp detection based on 3D texture analysis for virtual colonoscopy |
H. Lu |
Fourth Military Med U, China |
11 |
2:00–2:15 |
Training a CAD classifier with different polyp morphologies for virtual colonoscopy |
M. Dundar |
Siemens, USA |
12 |
2:15–2:30 |
Feature selection with BIC and PCA for polyp detection in CT colonography |
K. Seghouane |
National ICT, Australia |
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Electronic Cleansing and Visualization |
2:30 pm - 3:45 pm |
13 |
2:30–2:45 |
Structure-analysis method for electronic cleansing in non-cathartic CTC |
W. Cai |
MGH/Harvard, USA |
14 |
2:45–3:00 |
Thin layer classification for electronic cleansing |
V. F. van Ravesteijn |
Delft U of Tech, Netherlands |
15 |
3:00–3:15 |
Heterogeneous stool removal for laxative-free CT colonography |
M. Linguraru |
NIH, USA |
16 |
3:15–3:30 |
Electronic colon cleansing in the wavelet domain with an expectation-maximization segmentation from a coarse scale |
E. Morin |
National ICT, Australia |
17 |
3:30–3:45 |
Colon flattening with discrete Ricci flow |
F. Qiu |
Stony Brook U, USA |
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break |
3:45 pm - 4:15 pm |
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Segmentation and Registration |
4:15 pm - 5:00 pm |
18 |
4:15–4:30 |
A supervised learning approach for fast and accurate polyp segmentation |
L. Lu |
Siemens, USA |
19 |
4:30–4:45 |
Segmentation of colon tissue in CT colonography using adaptive level sets method |
D. Chen |
U of Louisville, USA |
20 |
4:45–4:55 |
Virtual colonoscopy registration regularization with global chainmail |
W. Plishker |
U of Maryland, USA |
21 |
4:55–5:05 |
Co-Registration of virtual and optical colonoscopy views |
J. Marino |
Stony Brook U, USA |
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CAD 2 |
5:00 pm - 6:00 pm |
22 |
5:05–5:15 |
Automated scheme for preparation-independent detection of colorectal lesions in CT colonography |
J. Näppi |
MGH/Harvard, USA |
23 |
5:15–5:25 |
A method for classification of candidate lesions in CT colonography |
J. L. Ong |
National ICT, Australia |
24 |
5:25–5:35 |
Open Implementation of feature extraction methods for CAD with PCA |
Y. Shen |
VirginiaTech, USA |
25 |
5:35–5:45 |
Computer aided polyp detection with texture analysis |
F. Qiu |
Stony Brook U, USA |
26 |
5:45–5:55 |
Algorithmic Colon Polyp Detection: Image Processing or Geometry Processing? |
P. Sundaram |
BWH/Harvard, USA |
