Title

Surface normal overlap: A computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT

Document Type

Article

Publication Date

6-1-2004

Abstract

We developed a novel computer-aided detection (CAD) algorithm called the surface normal overlap method that we applied to colonic polyp detection and lung nodule detection in helical computed tomography (CT) images. We demonstrate some of the theoretical aspects of this algorithm using a statistical shape model. The algorithm was then optimized on simulated CT data and evaluated using a per-lesion cross-validation on 8 CT colonography datasets and on 8 chest CT datasets. It is able to achieve 100% sensitivity for colonic polyps 10 mm and larger at 7.0 false positives (FPs)/dataset and 90% sensitivity for solid lung nodules 6 mm and larger at 5.6 FP/dataset.

Publication Source (Journal or Book title)

IEEE Transactions on Medical Imaging

First Page

661

Last Page

675

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