Colonic wall thickness using level sets for CT virtual colonoscopy visual assessment and polyp detection

2007 ◽  
Author(s):  
Robert L. Van Uitert ◽  
Ronald M. Summers
Keyword(s):  
Wall Thickness ◽  
Level Sets ◽  
Virtual Colonoscopy ◽  
Visual Assessment ◽  
Polyp Detection ◽  
Colonic Wall

Quantitative assessment of colon distention for polyp detection in CT virtual colonoscopy

2006 ◽  
Author(s):  
Robert Van Uitert ◽  
Ingmar Bitter ◽  
Ronald M. Summers ◽  
J. Richard Choi ◽  
Perry J. Pickhardt
Keyword(s):  
Quantitative Assessment ◽  
Virtual Colonoscopy ◽  
Polyp Detection

scholarly journals Computed Tomographic Virtual Colonoscopy Computer-Aided Polyp Detection in a Screening Population

2005 ◽  
Vol 129 (6) ◽  
pp. 1832-1844 ◽  
Author(s):  
Ronald M. Summers ◽  
Jianhua Yao ◽  
Perry J. Pickhardt ◽  
Marek Franaszek ◽  
Ingmar Bitter ◽  
...  
Keyword(s):  
Virtual Colonoscopy ◽  
Polyp Detection ◽  
Computed Tomographic ◽  
Computer Aided ◽  
Screening Population

Virtual Colonoscopy Beyond Polyp Detection?

2006 ◽  
pp. 161-173
Author(s):  
Thomas Mang ◽  
Wolfgang Schima ◽  
Andrea Maier ◽  
Peter Pokieser
Keyword(s):  
Virtual Colonoscopy ◽  
Polyp Detection

Variational Approach Based Image Pre- Processing Techniques for Virtual Colonoscopy

2011 ◽  
pp. 1340-1359
Author(s):  
Dongqing Chen ◽  
Aly A. Farag ◽  
Robert L. Falk ◽  
Gerald W. Dryden
Keyword(s):  
Colorectal Cancer ◽  
Variational Approach ◽  
Virtual Colonoscopy ◽  
Colonic Polyps ◽  
Colonic Polyp ◽  
Polyp Detection ◽  
Segmentation Accuracy ◽  
Processing Techniques ◽  
Colonic Polyp Detection ◽  
Colon Segmentation

Colorectal cancer includes cancer of the colon, rectum, anus and appendix. Since it is largely preventable, it is extremely important to detect and treat the colorectal cancer in the earliest stage. Virtual colonoscopy is an emerging screening technique for colon cancer. One component of virtual colonoscopy, image preprocessing, is important for colonic polyp detection/diagnosis, feature extraction and classification. This chapter aims at an accurate and fast colon segmentation algorithm and a general variational-approach based framework for image pre-processing techniques, which include 3D colon isosurface generation and 3D centerline extraction for navigation. The proposed framework has been validated on 20 real CT Colonography (CTC) datasets. The average segmentation accuracy has achieved 96.06%, and it just takes about 5 minutes for a single CT scan of 512*512*440. All the 12 colonic polyps with sizes of 6 mm and above in the 20 clinical CTC datasets are found by this work.

Virtual Colonoscopy: Beyond Polyp Detection

2010 ◽  
pp. 199-217 ◽  
Author(s):  
T. Mang ◽  
P. Pokieser ◽  
A. Maier ◽  
W. Schima
Keyword(s):  
Virtual Colonoscopy ◽  
Polyp Detection

scholarly journals Reduction of false positives by internal features for polyp detection in CT-based virtual colonoscopy

2005 ◽  
Vol 32 (12) ◽  
pp. 3602-3616 ◽  
Author(s):  
Zigang Wang ◽  
Zhengrong Liang ◽  
Lihong Li ◽  
Xiang Li ◽  
Bin Li ◽  
...  
Keyword(s):  
Virtual Colonoscopy ◽  
False Positives ◽  
Polyp Detection
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