DocumentCode :
2472649
Title :
Matching colonic polyps from prone and supine CT colonography scans based on statistical curvature information
Author :
Wang, Shijun ; Yao, Jianhua ; Summers, Ronald M.
Author_Institution :
Diagnostic Radiol. Dept., Nat. Institutes of Health, Bethesda, MD, USA
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Computed tomographic colonography (CTC) provides a feasible way for the detection of colorectal polyps and cancer screening. In the clinical practice of CTC, a true colonic polyp will be confirmed with high confidence if a radiologist can find it in both the supine and prone scans. To assist radiologists in CTC reading, we propose a new colonic polyp matching method based on statistical curvature information of polyp candidates. We first extract histograms of curvature-related features (HCF) from each polyp candidate, then use diffusion map to embed the original high dimensional data into a low-dimensional space. Experimental results show that by using our HCF method, we can improve the sensitivity from 0.58 to 0.74 at false positive rate 0.1 compared with a traditional method that uses only means of curvature-related features.
Keywords :
cancer; computerised tomography; feature extraction; image matching; medical image processing; object detection; cancer screening; colonic polyp matching method; colorectal polyp detection; computed tomographic colonography scans; curvature-related features; diffusion map; statistical curvature information; Cancer detection; Colon; Colonic polyps; Colonography; Feature extraction; Histograms; Image edge detection; Shape; Tomography; Virtual colonoscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4760992
Filename :
4760992
Link To Document :
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