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Ye, X.; Slabaugh, G.G. (2011)
Publisher: IEEE
Languages: English
Types: Unknown
Subjects: RC, QA75
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] D.Regge, T.M.Gallo, G.Nieddu, G.Galatola, M.Fracchia, E.Neri, P.Vagli, and C.Bartolozzi, “IIeocecal valve imaging on computed tomographic colonography”, Abdominal Imaging, 30:20-25, 2004.
    • [2] E.M.Lawrence, P.J.Pickhardt, D.H.Kim and J.B.Robbins, “Colorectal polyps: stand-alone performance of computer-aided detection in a large asymptomatic screening population”, Radiology, 256 (3): 791-798, Sep, 2010.
    • [3] G.Slabaugh, X.Yang, X.Ye, R.Boyes, and G.Beddoe, “A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions”, Algorithms, 3(1): 21-43, 2010.
    • [4] R.M.Summers, J.Yao and C.D.Johnson, “CT Colonography with computer-aided detection: automated recognition of ileocecal valve to reduce number of false-positive detections”, Radiology, 10, 2004.
    • [5] L.Lu, A.Barbu, M.Wolf, J.Liang, L.Bogoni, M.Salganicoff and D.Comaniciu, “Simultaneous detection and registration for ileocecal valve detection in 3D CT colonography”, ECCV, 2006.
    • [6] C.van Wijk, V.F.van Ravesteijn, F.M.Vos and L.J.van Vliet,“ Detection and segmentation of colonic polyps on implicit isosurfaces by second principal curvature flow”, IEEE Trans. Medical Imaging, 29 (3). 688-698, 2010.
    • [7] Y.Zhou and A.W.Toga, “Efficient skeletonization of volumetric objects”, IEEE Trans. Visualization and computer graphics, 5(3), 196-209, 1999.
    • [8] Y.Freund, R.E.Scharpire. “A decision-theoretic generalization of on-line learning and an applization to boosting”, Journal of computer and system sciences, 55, 119-139, 1997.
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