Robust breast composition measurement - Volpara™

  • Authors:
  • Ralph Highnam;Sir Michael Brady;Martin J. Yaffe;Nico Karssemeijer;Jennifer Harvey

  • Affiliations:
  • Matakina Technology Limited, Wellington, New Zealand;Department of Engineering Science, University of Oxford, UK;Department of Medical Biophysics & Medical Imaging, University of Toronto, Canada;Department of Radiology, University of Nijmegen, Netherlands;Department of Radiology, University of Virginia Health System

  • Venue:
  • IWDM'10 Proceedings of the 10th international conference on Digital Mammography
  • Year:
  • 2010

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Abstract

Volumetric breast composition measurements generally require accurate imaging physics data In this paper we describe a new method (VolparaTM) that uses relative (as opposed to absolute) physics modeling together with additional information derived from the image to substantially reduce the dependence on imaging physics data Results on 2,217 GE digital images, from a diversity of sites, show encouraging agreement with MRI data, as well as robustness to noise and errors in the imaging physics data.