scholarly journals Computer-aided detection of colonic polyps with level set-based adaptive convolution in volumetric mucosa to advance CT colonography toward a screening modality

2009 ◽  
Vol Volume 1 ◽  
pp. 1-13 ◽  
Author(s):  
Jerome Liang
Keyword(s):  
Level Set ◽  
Ct Colonography ◽  
Colonic Polyps ◽  
Computer Aided Detection ◽  
Computer Aided

scholarly journals Improved Curvature Estimation for Computer-aided Detection of Colonic Polyps in CT Colonography

2011 ◽  
Vol 18 (8) ◽  
pp. 1024-1034 ◽  
Author(s):  
Hongbin Zhu ◽  
Yi Fan ◽  
Hongbing Lu ◽  
Zhengrong Liang
Keyword(s):  
Ct Colonography ◽  
Colonic Polyps ◽  
Computer Aided Detection ◽  
Computer Aided ◽  
Curvature Estimation

Projection-based features for reducing false positives in computer-aided detection of colonic polyps in CT colonography

2010 ◽  
Author(s):  
Hongbin Zhu ◽  
Matthew Barish ◽  
Perry Pickhardt ◽  
Yi Fan ◽  
Erica Posniak ◽  
...  
Keyword(s):  
Ct Colonography ◽  
Colonic Polyps ◽  
False Positives ◽  
Computer Aided Detection ◽  
Computer Aided

A Model-Driven Bayesian Method for Polyp Detection and False Positive Suppression in CT Colonography Computer-Aided Detection

2012 ◽  
pp. 220-237
Author(s):  
Xujiong Ye ◽  
Greg Slabaugh
Keyword(s):  
Ct Colonography ◽  
Colonic Polyps ◽  
Volume Effect ◽  
False Positives ◽  
Detection Sensitivity ◽  
Computer Aided Detection ◽  
Polyp Detection ◽  
Model Driven ◽  
Computer Aided ◽  
Overlap Ratio

This chapter presents an automated method to identify colonic polyps and suppress false positives for Computer-Aided Detection (CAD) in CT Colonography (CTC). The method formulates the problem of polyp detection as a probability calculation through a unified Bayesian statistical approach. The polyp likelihood is modeled with a combination of shape, intensity, and location features, while also taking into account the spatial prior probability encoded by a Markov Random Field. A second principal curvature PDE provides a shape model; and partial volume effect is incorporated in the intensity model. When evaluated on a large multi-center dataset of colonic CT scans, the CAD detection performance as well as the volume overlap ratio demonstrate the potential of the proposed method. The method results in an average 24% reduction of false positives with no impact on sensitivity. The method is also applicable to generation of initial candidates for CTC CAD with high detection sensitivity and relatively lower false positives, compared to other non-Bayesian methods.

CT colonography: effect of computer-aided detection of colonic polyps as a second and concurrent reader for general radiologists with moderate experience in CT colonography

2014 ◽  
Vol 24 (7) ◽  
pp. 1466-1476 ◽  
Author(s):  
Thomas Mang ◽  
Luca Bogoni ◽  
Vikram X. Anand ◽  
Dass Chandra ◽  
Andrew J. Curtin ◽  
...  
Keyword(s):  
Ct Colonography ◽  
Colonic Polyps ◽  
Computer Aided Detection ◽  
Computer Aided

Computer-Aided Detection of Colonic Polyps at CT Colonography Using a Hessian Matrix–Based Algorithm: Preliminary Study

2007 ◽  
Vol 189 (1) ◽  
pp. 41-51 ◽  
Author(s):  
Se Hyung Kim ◽  
Jeong Min Lee ◽  
Joon-Goo Lee ◽  
Jong Hyo Kim ◽  
Philippe A. Lefere ◽  
...  
Keyword(s):  
Ct Colonography ◽  
Hessian Matrix ◽  
Colonic Polyps ◽  
Computer Aided Detection ◽  
Computer Aided ◽  
Preliminary Study

Colonic Polyps: Complementary Role of Computer-aided Detection in CT Colonography

Radiology ◽  
2002 ◽  
Vol 225 (2) ◽  
pp. 391-399 ◽  
Author(s):  
Ronald M. Summers ◽  
Anna K. Jerebko ◽  
Marek Franaszek ◽  
James D. Malley ◽  
C. Daniel Johnson
Keyword(s):  
Ct Colonography ◽  
Colonic Polyps ◽  
Computer Aided Detection ◽  
Complementary Role ◽  
Computer Aided

Computer-Aided Detection of Colorectal Polyps at CT Colonography

Endoscopy ◽  
2004 ◽  
Vol 36 (05) ◽  
Author(s):  
RJT Sadleir ◽  
PF Whelan ◽  
N Sezille ◽  
TA Chowdhury ◽  
A Moss ◽  
...  
Keyword(s):  
Ct Colonography ◽  
Colorectal Polyps ◽  
Computer Aided Detection ◽  
Computer Aided

CT Colonography with Computer-aided Detection as a Second Reader: Observer Performance Study

Radiology ◽  
2008 ◽  
Vol 246 (1) ◽  
pp. 148-156 ◽  
Author(s):  
Nicholas Petrick ◽  
Maruf Haider ◽  
Ronald M. Summers ◽  
Srinath C. Yeshwant ◽  
Linda Brown ◽  
...  
Keyword(s):  
Ct Colonography ◽  
Observer Performance ◽  
Computer Aided Detection ◽  
Performance Study ◽  
Computer Aided
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