Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography

2007 ◽  
Author(s):  
Jiang Li ◽  
Adam Huang ◽  
Nicholas Petrick ◽  
Jianhua Yao ◽  
Ronald M. Summers
Keyword(s):  
Ct Colonography ◽  
Optimal Operation ◽  
Pareto Optimal ◽  
Polyp Detection ◽  
Detection Algorithms ◽  
Operation Parameters

Using Pareto fronts to evaluate polyp detection algorithms for CT colonography

2007 ◽  
Author(s):  
Adam Huang ◽  
Jiang Li ◽  
Ronald M. Summers ◽  
Nicholas Petrick ◽  
Amy K. Hara
Keyword(s):  
Ct Colonography ◽  
Polyp Detection ◽  
Detection Algorithms ◽  
Pareto Fronts

scholarly journals Improving polyp detection algorithms for CT colonography: Pareto front approach

2010 ◽  
Vol 31 (11) ◽  
pp. 1461-1469 ◽  
Author(s):  
Adam Huang ◽  
Jiang Li ◽  
Ronald M. Summers ◽  
Nicholas Petrick ◽  
Amy K. Hara
Keyword(s):  
Ct Colonography ◽  
Pareto Front ◽  
Polyp Detection ◽  
Detection Algorithms

Eigenvalue-weighting and feature selection for computer-aided polyp detection in CT colonography

2010 ◽  
Author(s):  
Hongbin Zhu ◽  
Su Wang ◽  
Yi Fan ◽  
Hongbing Lu ◽  
Zhengrong Liang
Keyword(s):  
Feature Selection ◽  
Ct Colonography ◽  
Polyp Detection ◽  
Computer Aided ◽  
Selection For

Numerical Study on Mechanism and Parameters Optimization of Temporary Plugging by Particles in Wellbore

2021 ◽  
pp. 1-16
Author(s):  
Tao Zhang ◽  
Ming Li ◽  
Jianchun Guo ◽  
Haoran Gou ◽  
Kefan Mu
Keyword(s):  
Particle Size ◽  
Numerical Study ◽  
Optimal Operation ◽  
Parameters Optimization ◽  
Mass Ratio ◽  
Stimulated Reservoir Volume ◽  
Reservoir Volume ◽  
Pump Rate ◽  
Single Well ◽  
Operation Parameters

Summary The temporary plugging by particles in the wellbore can open new perforation clusters and increase stimulated reservoir volume, but the temporary plugging process of particles is not clear. Therefore, in this paper, we take an ultradeep well in the Tarim Basin as the research object and establish a numerical model based on the coupled computational fluid dynamics-discrete element technology (CFD-DEM) approach, which accurately describes the movement process and mechanism of the temporary plugging particles in the wellbore. Furthermore, the influence of flow rate, concentration of injected particles, and the injected mass ratio of particle size on the temporary plugging effect were studied, respectively. In addition, based on the results of the orthogonal experimental analysis, we obtained the pump rate as the primary factor affecting the effect of temporary plugging, and we recommended the optimal operation parameters for temporary plugging by particles in the field: The pump rate is 2 m3/min, the concentration of the injected temporary plugging particles is 20%, and the ratio of the mass of the injected temporary plugging particles with particle size 1 to 5 mm to the mass of the temporary plugging particles with particle size 5 to 10 mm is 3:1. Finally, a single well that had implemented temporary plugging by particles was used to verify the recommended optimal temporary plugging operation parameters. The research results of this paper provide important guidance and suggestions for the design of temporary plugging schemes on the field.

T1229 CT Colonography: Polyp Detection and Endoscopic Follow up in an Urban UK Hospital Cohort

2010 ◽  
Vol 138 (5) ◽  
pp. S-516
Author(s):  
Lolita Chan ◽  
Javaid Iqbal ◽  
Andrew Mcpartlin ◽  
Tuheen Huda ◽  
Robert P. Willert
Keyword(s):  
Ct Colonography ◽  
Polyp Detection

Primary 2D Versus Primary 3D Polyp Detection at Screening CT Colonography

2007 ◽  
Vol 189 (6) ◽  
pp. 1451-1456 ◽  
Author(s):  
Perry J. Pickhardt ◽  
Andrew D. Lee ◽  
Andrew J. Taylor ◽  
Steven J. Michel ◽  
Thomas C. Winter ◽  
...  
Keyword(s):  
Ct Colonography ◽  
Polyp Detection

The use of 3D surface fitting for robust polyp detection and classification in CT colonography

2006 ◽  
Vol 30 (8) ◽  
pp. 427-436 ◽  
Author(s):  
Tarik A. Chowdhury ◽  
Paul F. Whelan ◽  
Ovidiu Ghita
Keyword(s):  
Ct Colonography ◽  
Surface Fitting ◽  
Polyp Detection ◽  
3D Surface

scholarly journals Improved diagnosis and navigation for CT colonography

2021 ◽  
Author(s):  
Jinjie Ming
Keyword(s):  
Ct Colonography ◽  
Automatic Segmentation ◽  
Segmentation Method ◽  
Polyp Detection ◽  
Data Set ◽  
Colon Wall ◽  
Texture Information ◽  
Ct Data ◽  
New Feature ◽  
Shape And Size

This project describes the development of an automatic segmentation method and a novel navigation system that detect polyps using advanced image processing and computer graphics tecniques. The colon wall segmentation method from the CT data set of abdomen is achieved by combining the contouring model - level set method and the minima detection using mathematical morphology theory. Polyp detection is attained by analyzing surface curvature and texture information along on the colon wall. Adding texture analysis provides a new feature for improving currently existing methods. As such, polyp candidates are examined not only by their shape and size but also by their texture appearance.

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