Abstract
The problem of assessing the potential for dose reduction in X-ray mammography has been addressed in the paper [1] via numerical simulation, using the detection of microcalcifications as a benchmark to measure the loss of image quality in the dose-reduced images. In this paper we present an extension of the original algorithm, which prefers clusters over single microcalcifications, and show test results indicating that the modification makes the algorithm more robust with respect to the image degradations due to dose reduction.
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References
Treiber OM, Wanninger F, Führ H, Panzer W, Regulla D, Winkler G: An adaptive algorithm for the detection of microcalcifications in simulated low-dose mammography. Physics in Medicine and Biology, to appear. Preprint version available under http://www.gsf.de/ibb/preprints.php.
Bunch PC: Advances in high-speed mammographic image quality Proc. SPIE Vol. 3659:120–130, 1999.
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Führ, H., Treiber, O., Wanninger, F. (2003). Cluster-Oriented Detection of Microcalcifications in Simulated Low-Dose Mammography. In: Wittenberg, T., Hastreiter, P., Hoppe, U., Handels, H., Horsch, A., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2003. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18993-7_20
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DOI: https://doi.org/10.1007/978-3-642-18993-7_20
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