18 March 2015 Computation of synthetic mammograms with an edge-weighting algorithm
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The promising increase in cancer detection rates1, 2 makes digital breast tomosynthesis (DBT) an interesting alternative to full-field digital mammography (FFDM) in breast cancer screening. However, this benefit comes at the cost of an increased average glandular dose in a combined DBT plus FFDM acquisition protocol. Synthetic mammograms, which are computed from the reconstructed tomosynthesis volume data, have demonstrated to be an alternative to a regular FFDM exposure in a DBT plus synthetic 2D reading mode.3 Besides weighted averaging and modified maximum intensity projection (MIP) methods,4, 5 the integration of CAD techniques for computing a weighting function in the forward projection step of the synthetic mammogram generation has been recently proposed.6, 7 In this work, a novel and computationally efficient method is presented based on an edge-retaining algorithm, which directly computes the weighting function by an edge-detection filter.
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Hanno Homann, Hanno Homann, Frank Bergner, Frank Bergner, Klaus Erhard, Klaus Erhard, "Computation of synthetic mammograms with an edge-weighting algorithm", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94121Q (18 March 2015); doi: 10.1117/12.2081797; https://doi.org/10.1117/12.2081797

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