caa a22 4500 463178807 CHVBK 20180406164833.0 cr unu---uuuuu 170326e20070601xx s 000 0 eng 10.1007/s10278-007-9009-8 doi (NATIONALLICENCE)springer-10.1007/s10278-007-9009-8 Incorporation of a Laguerre-Gauss Channelized Hotelling Observer for False-Positive Reduction in a Mammographic Mass CAD System [Elektronische Daten] [Alan Baydush, David Catarious, Joseph Lo, Carey Floyd] 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. Society for Imaging Informatics in Medicine, 2007 CAD nationallicence mass detection nationallicence classification nationallicence image processing nationallicence breast cancer nationallicence Baydush Alan Department of Radiation Oncology, Wake Forest University School of Medicine, Medical Center Blvd., 27157, Winston-Salem, NC, USA aut Catarious David 20007, Washington, DC, USA aut Lo Joseph Department of Biomedical Engineering, Duke University, Durham, NC, USA aut Floyd Carey Department of Biomedical Engineering, Duke University, Durham, NC, USA aut Journal of Digital Imaging Springer-Verlag 20/2(2007-06-01), 196-202 0897-1889 20:2<196 2007 20 10278 https://doi.org/10.1007/s10278-007-9009-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10278-007-9009-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Baydush Alan Department of Radiation Oncology, Wake Forest University School of Medicine, Medical Center Blvd., 27157, Winston-Salem, NC, USA aut NATIONALLICENCE 700 1- Catarious David 20007, Washington, DC, USA aut NATIONALLICENCE 700 1- Lo Joseph Department of Biomedical Engineering, Duke University, Durham, NC, USA aut NATIONALLICENCE 700 1- Floyd Carey Department of Biomedical Engineering, Duke University, Durham, NC, USA aut NATIONALLICENCE 773 0- Journal of Digital Imaging Springer-Verlag 20/2(2007-06-01), 196-202 0897-1889 20:2<196 2007 20 10278 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer