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Volumetric Assessment of Breast Tissue Composition from FFDM Images

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Digital Mammography (IWDM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5116))

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Abstract

We present first results from a new automated algorithm for the volumetric measurement of the composition of breast tissue from digital mammograms. The new algorithm overcomes issues in previous implementations through better segmentation and use of additional information We measure the success of the new algorithm using an overall quality metric based upon the results from a large multi-site, multi-vendor, multi-detector set of digitally acquired mammograms.

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Author information

Authors and Affiliations

  1. Hologic, Inc., 2585 Augustine Drive, Santa Clara, CA 95054, U.S.A.

    Keith Hartman

  2. Highnam Associates, 9/2 Hood Street, Mt Victoria, Wellington, 6011, New Zealand

    Ralph Highnam

  3. Dept. of Radiology, University of Cambridge, Cambridge, CB1 8RN, UK

    Ruth Warren

  4. Dept. of Radiology, Indiana University School of Medicine, IN46202, USA

    Valerie Jackson

Authors
  1. Keith Hartman
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  2. Ralph Highnam
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  3. Ruth Warren
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  4. Valerie Jackson
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Editor information

Elizabeth A. Krupinski

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© 2008 Springer-Verlag Berlin Heidelberg

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Hartman, K., Highnam, R., Warren, R., Jackson, V. (2008). Volumetric Assessment of Breast Tissue Composition from FFDM Images. In: Krupinski, E.A. (eds) Digital Mammography. IWDM 2008. Lecture Notes in Computer Science, vol 5116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70538-3_5

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  • DOI: https://doi.org/10.1007/978-3-540-70538-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70537-6

  • Online ISBN: 978-3-540-70538-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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