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Portrait of Predrag Bakic. Photo

Predrag Bakic

Associate Professor

Portrait of Predrag Bakic. Photo

Evaluation of a novel method of noise reduction using computer-simulated mammograms

Author

  • Oleg Tischenko
  • Christoph Hoeschen
  • David R. Dance
  • Roger A. Hunt
  • Andrew D.A. Maidment
  • Predrag R. Bakic

Summary, in English

A novel method of noise reduction has been tested for mammography using computer-simulated images for which the truth is known exactly. This method is based on comparing two images. The images are compared at different scales, using a cross-correlation function as a measure of similarity to define the image modifications in the wavelet domain. The computer-simulated images were calculated for noise-free primary radiation using a quasi-realistic voxel phantom. Two images corresponding to slightly different geometry were produced. Gaussian noise was added with certain properties to simulate quantum noise. The added noise could be reduced by >70% using the proposed method without any noticeable corruption of the structures. It is possible to save 50% dose in mammography by producing two images (each 25% of the dose for a standard mammogram). Additionally, a reduction of the anatomical noise and, therefore, better detection rates of breast cancer in mammography are possible.

Publishing year

2005

Language

English

Pages

81-84

Publication/Series

Radiation Protection Dosimetry

Volume

114

Issue

1-3

Document type

Journal article

Publisher

Oxford University Press

Topic

  • Medical Engineering

Status

Published

ISBN/ISSN/Other

  • ISSN: 0144-8420