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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Acknowledgments
We would like to gratefully acknowledge the support for this research from the DOD Breast Cancer Research Program, DAMD17-02-1-0367.
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Baydush, A.H., Catarious, D.M., Lo, J.Y. et al. Incorporation of a Laguerre–Gauss Channelized Hotelling Observer for False-Positive Reduction in a Mammographic Mass CAD System. J Digit Imaging 20, 196–202 (2007). https://doi.org/10.1007/s10278-007-9009-8
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DOI: https://doi.org/10.1007/s10278-007-9009-8