Evaluation of a novel method of noise reduction using computer-simulated mammograms
1 Department for Diagnostic Radiology, University Hospital Magdeburg, Leipziger Strasse 44, D-39120 Magdeburg, Germany
2 GSF–National Research Center for Environment and Health, Institute of Radiation Protection, Working Group Medical Physics, Ingolstaedter Landstrasse 1, D-85764 Neuherberg, Germany
3 Department of Physics, The Royal Marsden NHS Foundation Trust London, London SW3 6JJ, UK
4 Department of Radiology, The Thomas Jefferson University of Pennsylvania, Philadelphia, PA, USA
* Corresponding author: Christoph.Hoeschen{at}gsf.de
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.
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