Abstract
In Brazil, breast cancer is the leading cause of cancer death in women. In order to improve the early detection and survival rate of this disease, a new technique of additional exam was created: tomosynthesis. In this recent technology, commonly referred to as 3D mammography, the X-ray tube is rotated, generating many slices images of the breast, increasing the breast cancer detection mainly in dense breasts. The goal of this work is to evaluate and compare the contrast-to-noise (CNR) and peak signal-to-noise (PSNR) ratios of 2D FFDM (Full-Field Digital Mammography) and 3D tomosynthesis images using polymethylmethacrylate (PMMA) plates. We observed that the CNR values for the 2D images were always higher than for the 3D images, the opposite of what happened with the PSNR, which was higher for the tomosynthesis images. Besides that, we noticed that the thickness of the PMMA images and the CNR values calculated are inversely proportional, probably due to the scattered radiation. From this work, it was possible to evaluate the differences in level of contrast between the two types of image tested, which motivate us to investigate more these types of images in a larger database and with different contrast measures. We would like to propose one or a set of digital processing techniques that increase the contrast and reduce the noise in the 2D mammographic image.
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Acknowledgments
We would like to thank CAPES for the financial support and the Institute of Radiology of the Faculty of Medicine from the University of So Paulo for providing us the images.
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Carneiro, P.C., de Lima Thomaz, R., Patrocinio, A.C., de Oliveira Andrade, A. (2018). CNR and PSNR Evaluation Between 2D FFDM and 3D Tomosynthesis Images Using PMMA Plates. In: Tavares, J., Natal Jorge, R. (eds) VipIMAGE 2017. ECCOMAS 2017. Lecture Notes in Computational Vision and Biomechanics, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-319-68195-5_22
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DOI: https://doi.org/10.1007/978-3-319-68195-5_22
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