1 research outputs found
Concavity analysis for reduction of ileocecal valve false positives in CTC
The ileocecal valve (ICV) is a common source of false positive (FP) detections in CT colonography (CTC)
computer-aided detection (CAD) of polyps. In this paper, we
propose an automatic method to identify ICV CAD regions
to reduce FPs. The ICV is a particularly challenging
structure to detect due to its variable, polyp-mimicking
morphology. However, the vast majority of ICVs have a
visible orifice, which appears as a 3D concave region. Our
method identifies the orifice concave region using a partial
differential equation (PDE) based on 3D curvature and
geometric constraints. These orifice features, combined with
intensity and shape features generated in a Bayesian
framework, comprise a set of compact features fed into an
Adaboost classifier to produce a final classification of a
region being ICV or non-ICV. Experimental results on a
multi-center tagged CTC dataset demonstrate the success of
the method in detecting ICV regions and reducing FPs in
CAD