Detection of Protrusions in Curved Folded Surfaces Applied to Automated Polyp Detection in CT Colonography

Author(s):  
Cees van Wijk ◽  
Vincent F. van Ravesteijn ◽  
Frank M. Vos ◽  
Roel Truyen ◽  
Ayso H. de Vries ◽  
...  
2010 ◽  
Vol 138 (5) ◽  
pp. S-516
Author(s):  
Lolita Chan ◽  
Javaid Iqbal ◽  
Andrew Mcpartlin ◽  
Tuheen Huda ◽  
Robert P. Willert

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

2021 ◽  
Author(s):  
Jinjie Ming

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.


2014 ◽  
Vol 9 (4) ◽  
pp. 68-75
Author(s):  
Janapriya A.S ◽  
◽  
Mythili C ◽  
Nishanthi P ◽  
Sunitha K

2021 ◽  
Author(s):  
Jinjie Ming

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.


2021 ◽  
Vol 94 (1121) ◽  
pp. 20201316
Author(s):  
David Peprah ◽  
Andrew Plumb ◽  
Alison Corr ◽  
Janice Muckian ◽  
Kathryn Smith ◽  
...  

Objective: The COVID-19 pandemic has led to cancellation and deferral of many cancer investigations, including CT colonography (CTC). In May 2020, BSGAR and SCoR issued guidelines outlining steps for conduct of CTC in the early recovery phase. We evaluated the implementation of these in four English hospital trusts. Methods: Ethical permission was not required for this multicentre service evaluation. We identified patients undergoing CTC over a 2-month period from May to July 2020 at four Trusts. We recorded demographics, scan indications, colonic findings, and incidental lung base changes compatible with COVID-19. A subset of patients were contacted via telephone to document new symptoms 2 weeks following their scan. Staff were contacted to determine if any acquired COVID-19 during the period. Results: 224 patients (118 male, 52.7%) were scanned during the period. In 55 patients (24.6%), CTC showed a ≥6 mm polyp. 33 of 224 (14.7%) scans showed incidental lung base changes felt unrelated to COVID-19, and only one patient had changes indeterminate for COVID-19; no classic COVID-19 pulmonary changes were found. Of 169 patients with telephone follow-up, none reported any new symptoms of COVID-19 (cough, fever, anosmia, ageusia) within 14 days of CTC. None of the 86 staff contacted developed COVID-19. Conclusion: We found no cases of patients or staff acquiring COVID-19 infection following CTC; and no evidence of significant asymptomatic COVID-19 patients attending for CTC appointments based on lung base changes. Advances in knowledge: Our findings suggest that current practice is unlikely to contribute significantly to spread of SARS-nCOV2. Cancer and significant polyp detection rates were high, underlining the importance of maintaining service provision.


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