Incorporation of a Laguerre–Gauss Channelized Hotelling Observer for False-Positive Reduction in a Mammographic Mass CAD System |
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Authors: | Alan H Baydush David M Catarious Joseph Y Lo Carey E Floyd |
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Institution: | Department of Radiation Oncology, Wake Forest University School of Medicine, Medical Center Blvd., Winston-Salem, NC 27157, USA. abaydush@wfubmc.edu |
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Abstract: | Previously, we developed a simple Laguerre-Gauss (LG) channelized Hotelling observer (CHO) for incorporation into our mass computer-aided detection (CAD) system. This LG-CHO was trained using initial detection suspicious region data and was empirically optimized for free parameters. For the study presented in this paper, we wish to create a more optimal mass detection observer based on a novel combination of LG channels. A large set of LG channels with differing free parameters was created. Each of these channels was applied to the suspicious regions, and an output test statistic was determined. A stepwise feature selection algorithm was used to determine which LG channels would combine best to detect masses. These channels were combined using a HO to create a single template for the mass CAD system. Results from free-response receiver operating characteristic curves demonstrated that the incorporation of the novel LG-CHO into the CAD system slightly improved performance in high-sensitivity regions. |
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Keywords: | CAD mass detection classification image processing breast cancer |
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