The visualization of calcifications could be obscured in mammograms because of overlapping of tissue structures. Dual-energy digital mammography (DEDM) can generate tissue-subtracted image for improving the detectability of breast calcifications, but the mass information is missing. This paper proposes a conventional mammographic image generation method with increased calcification sensitivity based on DEDM. Firstly, a conventional mammographic image is generated with low-energy and high-energy images based on multi-scale decomposition and reconstruction. Secondly, the tissue-subtracted "calcification image" is generated using a nonlinear inverse mapping function with calcification pixels marked. Finally, the density values of the marked calcification pixels in the reconstructed mammographic image are increased for better visualization. Preliminary results show that the proposed DEDM method can generate both calcification and conventional mammogram-like images and the calcification sensitivity is increased. The CNR of calcifications of 50% glandular ratio has been increased from 2.75 to 9.32. © 2014 Springer International Publishing.
CITATION STYLE
Chen, X., & Mou, X. (2014). Conventional mammographic image generation method with increased calcification sensitivity based on dual-energy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8539 LNCS, pp. 460–467). Springer Verlag. https://doi.org/10.1007/978-3-319-07887-8_64
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