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Simulation of Dose Reduction in Digital Breast Tomosynthesis

  • Lucas R. Borges
  • Igor Guerrero
  • Predrag R. Bakic
  • Andrew D. A. Maidment
  • Homero Schiabel
  • Marcelo A. C. Vieira
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9699)

Abstract

Clinical evaluation of dose reduction studies in x-ray breast imaging is problematic because it is difficult to justify imaging the same patient at a variety of radiation doses. One common alternative is to use simulation algorithms to manipulate a standard-dose exam to mimic reduced doses. Although there are several dose-reduction simulation methods for full-field digital mammography, the availability of similar methods for digital breast tomosynthesis (DBT) is limited. This work proposes a method for simulating dose reductions in DBT, based on the insertion of noise in a variance-stabilized domain. The proposed method has the advantage of performing signal-dependent noise injection without knowledge of the noiseless signal. We compared clinical low-dose DBT projections and reconstructed slices to simulated ones by means of power spectra, mean pixel values, and local standard deviations. The results of our simulations demonstrate low error (<5 %) between real and simulated images.

Keywords

Noise simulation Dose reduction Digital breast tomosynthesis Anscombe transformation 

Notes

Acknowledgements

The authors would like to thank São Paulo Research Foundation (FAPESP grant# 2013/18915-5) and the Brazilian Foundation for the Coordination of Improvement of Higher Education Personnel (CAPES grant# 88881.030443/2013-01) for the financial support given to this project. The authors would also like to acknowledge the support of the National Institutes of Health/National Cancer Institute grant 1R01-CA154444. The content of this paper is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies. We thank Real Time Tomography (RTT) for providing assistance with image reconstruction. ADAM is a member of the scientific advisory board and shareholder of RTT.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Lucas R. Borges
    • 1
    • 2
  • Igor Guerrero
    • 1
  • Predrag R. Bakic
    • 2
  • Andrew D. A. Maidment
    • 2
  • Homero Schiabel
    • 1
  • Marcelo A. C. Vieira
    • 1
  1. 1.Department of Electrical EngineeringUniversity of São PauloSão CarlosBrazil
  2. 2.Department of RadiologyUniversity of PennsylvaniaPhiladelphiaUSA

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