Automatic colon polyp flagging via geometric and texture features

Author

Fiori, Marcelo ; Musé, Pablo ; Aguirre, Sergio ; Sapiro, Guillermo

Author_Institution

Univ. de la Republica-Uruguay, Uruguay

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

3170

Lastpage

3173

Abstract

Computer Tomographic Colonography, combined with computer-aided detection (CAD), is a promising emerging technique for colonic polyp analysis. We present a CAD scheme for polyp flagging based on new texture and geometric features that consider both the information in the candidate polyp location and its immediate surrounding area, testing multiple sizes. The proposed algorithm is tested with ground truth data, including flat and small polyps, with very promising results.

Keywords

computerised tomography; image classification; image texture; medical image processing; CAD; automatic colon polyp flagging; candidate polyp location; colonic polyp analysis; computer aided detection; computer tomographic colonography; geometric features; texture features; Colon; Colonography; Computed tomography; Design automation; Feature extraction; Indexes; Shape; CT Colonography; Virtual Colonoscopy; colonic polyp detection; computer-aided detection; Algorithms; Artificial Intelligence; Colonic Polyps; Colonography, Computed Tomographic; Humans; Imaging, Three-Dimensional; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5627185

Filename

5627185