Brizuela, Javier DavidRuiz, YuselyPérez, Marlen2024-02-192024-02-192019-02-10[1] Moeckli R, Verdun F, Fiedler S, M. et al. (2000) ―Objective comparison of image quality and dose between conventional and synchrotron radiation mammography,‖ Physics in Medicine and Biology, vol. 45, no. 12, pp. 3509–3523. [2]Graffigna J.P., and Romo R., "Imágenes en Medicina-UNSJ", Fundamento de Imágenes Médicas, 2003. [3] Castelli E., Dreossi D., Rigon L., Abram A., Arfelli F., P. Bregant, et al., "The mammography project at the SYRMEP beamline" European Journal of Radiology, vol. 68, pp. S58-S62, 2008. [4] Arfelli F., Castelli E., Rigon L., Bonvicini V., Bravin A., Cantatore G., et al., "Mammography with Synchrotron Radiation: Phase-Detection Techniques1" Radiology, vol. 215, pp. 286-293, 2000. [5] Castelli E., Tonutti M., Rigon L., Arfelli F., Longo R., Quaia E., et al., "Mammography with synchrotron radiation: first clinical experience with phasedetection technique" Radiology, vol. 259, pp. 684-694, 2011. [6] Ruiz Y., “Initial steps of objective measurements of image quality in phase-contrast vs. digital mammography”. CLAIB _2014 [7] Ruiz Y. Pérez M., Martínez D., Barreto M., Fleitas I., Mora R., RigonL., Tromba G. and Bregant P. et al. “Objective measurements of image quality in synchrotron radiation phase-contrast imaging versus digital mammograph”.International Journal of ComputerAssistedRadiology and Surgery. 2014. [8] Ruiz Y ., Perez M., Diaz R. “ Mediciones de calidad de imagen en mamografía con contraste de fase mediante haces de sincrotrón vs. mamografía digital”. Conferencia Internacional de Procesamiento de la Información.2017 [9] Tomasi C., Manduchi P.,“ Bilateral Filtering for Gray and Color Images,” Proceedings of the IEEE International Conference on Computer Vision, Bombay, India, 1998. [10] “Image Processing Toolbox™ User’s Guide ”Matlab 2011a versión 7.8 pp-11 [11] Young I., Gerbrands J., “Fundamentals of Image Processing” pp-56-93 [12] “Image Processing Toolbox™ User’s Guide ”Matlab 2015a . [13] Taswell C. “The what, how, and why of wavelets shrinkage denoising”. ComputSciEng. 2000;1: 12---9.22. [14] Pérez M., Lorenzo J., Pérez J., Falcón A., “Filtrado wavelet en estudios planares óseos de Medicina Nuclear” Imagen Diagn. 2017; 8(1):3---14. [15] Alvarez M., Oliveira M., Pina M., “Comparison between subjective and quantitative methods for assessing the resolution limit of radiographic systems” RevistaBrasileira de Física Médica.2012; 6(1):13-7.3DBio2019https://dspace.uclv.edu.cu/handle/123456789/14219Phase contrast (CF) mammography using synchrotron beams has shown quantitatively better results in terms of image contrast and detection of small details with respect to conventional hospital digital techniques. However, this new technique shows higher levels of randomnoise than common digital techniques due to differences in the detectors and also because the technique does not yet havea post-processing software to reduce noise, as is the case with equipment conventional digital mammography. So the objective of this work was to reduce noise in these images to levels similar to those of hospital equipment.Twenty-three images of mammograms performed on an anthropomorphic phantom, obtained using CF techniques using synchrotron X-radiation, were processed under different acquisition conditions in terms of beam energy and dose. The processing of these images was based on filtering (denoising&unsharp masking). We used classic filtering, bilateral, Wavelet family and filtering for edge enhancement. The signal-to-noise ratio (SNR), the contrast-to-noise ratio (CNR), the image contrast (Cima) and the detail visibility (V), as well as the spatial resolution through of the Modulation Transfer Function (MTF) were estimated in regions of interest on the images filtered with the different techniques and in the unfiltered originals. The performance of the filters was statistically studied, looking for those that favor the best image quality.The increase in SNR image quality indicators was observed without impairing spatial resolution, which demonstrates the superiority in image quality of this innovative technique for the detection of small lesions such as microcalcifications and low contrast masses.esmamografía, contraste de fase, filtrado, calidad de imagenProceedingsCentro de Biofísica Médica. Universidad de Oriente