Characterization of Projection Ordering in Iterative Reconstruction Methods for Breast Tomosynthesis

  • Authors:
  • Gang Wu;James Mainprize;Martin Yaffe

  • Affiliations:
  • Imaging Research, Sunnybrook Health Sciences Centre, Toronto, Canada M4N 3M5 and Department of Medical Biophysics, University of Toronto, Toronto, Canada;Imaging Research, Sunnybrook Health Sciences Centre, Toronto, Canada M4N 3M5;Imaging Research, Sunnybrook Health Sciences Centre, Toronto, Canada M4N 3M5 and Department of Medical Biophysics, University of Toronto, Toronto, Canada

  • Venue:
  • IWDM '08 Proceedings of the 9th international workshop on Digital Mammography
  • Year:
  • 2008

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Abstract

The order in which the projection views are selected in the reconstruction of tomosynthesis by iterative algorithms, such as algebraic reconstruction technique (ART) and maximum likelihood (ML), has a strong effect on rate of convergence, accuracy and the edge-blurring artifacts in the reconstructed image. In this work, we compared several ordering schemes and characterized the image quality and the formation of out-of-plane artifacts. A new projection sequence is presented, which produces more accurate reconstructions with reduced artifact intensity compared to sequential ordering. The new ordering achieved more than a 48% improvement in image quality index for a uniform background phantom after two iterations.