DocumentCode
3348615
Title
Improved method for predicting polyp location from CT colonography for optical colonoscopy
Author
Chang, Kevin W. ; Liu, Jiamin ; Yao, Jianhua ; Summers, Ronald M.
Author_Institution
Radiol. & Imaging Sci. Dept., Nat. Institutes of Health, Bethesda, MD, USA
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
4365
Lastpage
4368
Abstract
The ability to accurately locate a polyp found on computed tomographic colonography (CTC) at subsequent optical colonoscopy (OC) is an important part of CTC for colorectal cancer screening. A previous study has shown that a polyp´s normalized distance along the colon centerline (NDACC) derived from CTC data can be utilized to predict its location at OC. We present a novel and automated method using a high degree uniform B-Spline curve fitting of the colon centerline on CTC to simulate OC colonoscope paths in order to more accurately predict polyp position. This evaluation is to determine whether the B-Spline method produces statistically significant improvement over the NDACC method in terms of prediction errors within 5 and 10 cm (± 1 colonoscope mark). Two-tailed Fisher´s Exact Tests indicate the B-Spline method is superior to the NDACC method, especially for locating polyps in the central portion of the colon. The ability to predict polyp locations within 5 and 10 cm increased 31.5 % and 10.2 % respectively using the B-Spline method.
Keywords
cancer; computerised tomography; curve fitting; medical image processing; splines (mathematics); B-spline method; CTC; NDACC method; colorectal cancer screening; computed tomographic colonography; curve fitting; normalized distance along the colon centerline; optical colonoscopy; polyp location prediction; Cancer; Colon; Colonography; Computed tomography; Curve fitting; Fitting; Spline; B-Spline; CT colonography; Centerline Fitting; Optical colonoscopy; Polyp Detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5652341
Filename
5652341
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