Dual-energy digital mammography (DEDM) can generate tissue-subtracted calcification image for improving the
detectability of breast calcifications. However, the masses, if present, are missing in the tissue-subtracted calcification
image. This paper proposes an algorithm to generate conventional mammographic image by DEDM images based on a
multi-scale decomposition and reconstruction architecture with Gaussian filters. Firstly, calibration coefficients are
measured at different kVp to correct the original LE and HE. Secondly, the LE and HE images are decomposed into
multi-scale components. Thirdly, the components at different scale of the two images are weighted based on a similarity
measure to generate new components. Finally, the conventional mammographic image is reconstructed by these new
components using noise suppression technique. The proposed method was validated by different breast phantoms on two
commercially available full-field digital mammography systems. Results show that the method is effective and the
reconstructed image has similar grayscale, contrast and noise level to the corresponding conventional mammogram.
Therefore, both the calcification image and conventional mammogram-like image can be generated; the patient will not
need more exposure to get the conventional mammogram in DEDM.