Computer-aided detection of polyps in CT colonography: Performance evaluation in comparison with human readers based on large multicenter clinical trial cases

Author

Yoshida, H. ; Näppi, J. ; Cai, Wenli

Author_Institution

Med. Sch., Dept. of Radiol., Harvard Univ., Boston, MA, USA

fYear

2009

fDate

June 28 2009-July 1 2009

Firstpage

919

Lastpage

922

Abstract

CT colonography (CTC), also known as virtual colonoscopy, is a promising alternative technique for providing mass screening for colorectal carcinoma. In this study, we developed a high-performance CAD scheme that automatically detects suspicious polyps in CTC data, and retrospectively compared its performance with that of prospective unaided human CTC reading in the detection of clinically significant adenomas/carcinomas by use of CTC database consisting of cases from two large multicenter clinical trials.

Keywords

biological organs; cancer; computerised tomography; diagnostic radiography; medical image processing; tumours; CAD scheme; CT colonography; CTC database; colorectal carcinoma; computer-aided detection; human readers; multicenter clinical trial cases; polyps detection; virtual colonoscopy; Cancer; Clinical trials; Colon; Colonic polyps; Colonography; Computed tomography; Data mining; Humans; Testing; Virtual colonoscopy; biomedical image processing; computer-aided analysis; object detection; x-ray tomography cancer;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on

Conference_Location

Boston, MA

ISSN

1945-7928

Print_ISBN

978-1-4244-3931-7

Electronic_ISBN

1945-7928

Type

conf

DOI

10.1109/ISBI.2009.5193203

Filename

5193203