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      Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstruction

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          Abstract

          We investigate the detectability of breast cone beam computed tomography images using human and model observers and the variations of exponent, β, of the inverse power-law spectrum for various reconstruction filters and interpolation methods in the Feldkamp-Davis-Kress (FDK) reconstruction. Using computer simulation, a breast volume with a 50% volume glandular fraction and a 2 mm diameter lesion are generated and projection data are acquired. In the FDK reconstruction, projection data are apodized using one of three reconstruction filters; Hanning, Shepp-Logan, or Ram-Lak, and back-projection is performed with and without Fourier interpolation. We conduct signal-known-exactly and background-known-statistically detection tasks. Detectability is evaluated by human observers and their performance is compared with anthropomorphic model observers (a non-prewhitening observer with eye filter (NPWE) and a channelized Hotelling observer with either Gabor channels or dense difference-of-Gaussian channels). Our results show that the NPWE observer with a peak frequency of 7 cyc/ degree attains the best correlation with human observers for the various reconstruction filters and interpolation methods. We also discover that breast images with smaller β do not yield higher detectability in the presence of quantum noise.

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          Most cited references 42

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: Visualization
                Role: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2018
                15 March 2018
                : 13
                : 3
                Affiliations
                School of Integrated Technology and Yonsei Institute of Convergence Technology, Yonsei University, Incheon, South Korea
                University of Chicago Medical Center, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Article
                PONE-D-17-21700
                10.1371/journal.pone.0194408
                5854363
                29543868
                © 2018 Han et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                Page count
                Figures: 11, Tables: 5, Pages: 16
                Product
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100003725, National Research Foundation of Korea;
                Award ID: 2017M2A2A4A01070302
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100003621, Ministry of Science, ICT and Future Planning;
                Award ID: IITP-2017-2017-0-01015
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100003725, National Research Foundation of Korea;
                Award ID: 2015R1C1A1A01052268
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100003725, National Research Foundation of Korea;
                Award ID: 2017M2A2A6A01019663
                Award Recipient :
                This work was supported by Ministry of Science, ICT and Future Planning (IITP-2017-2017-0-01015); National Research Foundation of Korea (2017M2A2A4A01070302, 2015R1C1A1A01052268, 2017M2A2A6A01019663). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
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                Physical Sciences
                Mathematics
                Numerical Analysis
                Interpolation
                Research and Analysis Methods
                Imaging Techniques
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                Anatomy
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