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Comparison of Calcification Cluster Detection by CAD and Human Observers at Different Image Quality Levels

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Breast Imaging (IWDM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8539))

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Abstract

Previous studies have compared the performance of human observers to the performance of human observers using CAD. Here we compare the performance of human observers to Hologic’s ImageChecker CAD system using a set of 162 images with simulated calcification clusters. The quality of the images was reduced to create four other image sets at different image qualities. These were analysed by the CAD system and the relevant information from the resulting DICOM structured reports was parsed. At the highest image quality level the figure of merit for the CAD was 0.82 and 0.84 for the humans. At the lowest image quality level the figure of merit for the CAD and humans were 0.62 and 0.55 respectively. At each image quality level there was no significant difference (p>0.05). The effect of changes in image quality on calcification detection was similar for human observers and the CAD system.

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Author information

Authors and Affiliations

  1. National Coordinating Centre for the Physics of Mammography, Royal Surrey County Hospital NHS Foundation Trust, Guildford, UK

    Padraig T. Looney, Lucy M. Warren & Kenneth C. Young

  2. Department of Physics, University of Surrey, Guildford, UK

    Lucy M. Warren & Kenneth C. Young

  3. Centre for Imaging Sciences, Institute of Population Health, Faculty of Medical and Human Sciences, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester, M13 9PT, UK

    Susan M. Astley

Authors
  1. Padraig T. Looney
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  2. Lucy M. Warren
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  3. Susan M. Astley
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  4. Kenneth C. Young
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Editor information

Editors and Affiliations

  1. Department of Intelligent Image Information, Gifu University Graduate School of Medicine, 1-1 Yanagido, 501-1194, Gifu, Gifu, Japan

    Hiroshi Fujita , Takeshi Hara  & Chisako Muramatsu ,  & 

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Looney, P.T., Warren, L.M., Astley, S.M., Young, K.C. (2014). Comparison of Calcification Cluster Detection by CAD and Human Observers at Different Image Quality Levels. In: Fujita, H., Hara, T., Muramatsu, C. (eds) Breast Imaging. IWDM 2014. Lecture Notes in Computer Science, vol 8539. Springer, Cham. https://doi.org/10.1007/978-3-319-07887-8_89

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  • DOI: https://doi.org/10.1007/978-3-319-07887-8_89

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07886-1

  • Online ISBN: 978-3-319-07887-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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