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Proceedings Paper

Projection-based features for reducing false positives in computer-aided detection of colonic polyps in CT colonography
Author(s): Hongbin Zhu; Matthew Barish; Perry Pickhardt; Yi Fan; Erica Posniak; Robert Richards; Zhengrong Liang
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Paper Abstract

A large number of false positives (FPs) generated by computer-aided detection schemes is likely to distract radiologists' attention and decreases their interpretation efficiency. Therefore, it is desirable to reduce FPs as many as possible to increase the detection specificity while maintaining the high detection sensitivity. In this paper, several features are extracted from the projected images of each initial polyp candidate to differentiate FPs from true positives. These features demonstrate the potential to exclude different types of FPs, like haustral folds, rectal tubes and residue stool by an evaluation using a database of 325 patient studies (from two different institutions) which includes 556 scans at supine and/or prone positions with 347 polyps and masses sized from 5 to 60 mm. For comparison purpose, several wellestablished features are used to generate a baseline reference. At the by-polyp detection sensitivity level of 96% (no loss of detection sensitivity), the number of FPs per scan is 7.8 by the baseline and 3.75 if the new projection features are added, which is a reduction of 51.9% FPs from the baseline.

Paper Details

Date Published: 9 March 2010
PDF: 9 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 76240B (9 March 2010); doi: 10.1117/12.844467
Show Author Affiliations
Hongbin Zhu, SUNY, Stony Brook (United States)
Matthew Barish, SUNY, Stony Brook (United States)
Perry Pickhardt, Univ. of Wisconsin-Madison (United States)
Yi Fan, SUNY, Stony Brook (United States)
Erica Posniak, SUNY, Stony Brook (United States)
Robert Richards, SUNY, Stony Brook (United States)
Zhengrong Liang, SUNY, Stony Brook (United States)


Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

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