Evaluation of the Scattering Profile of Radiation in Digital Mammography Using Monte Carlo Simulations

Authors

DOI:

https://doi.org/10.29384/rbfm.2024.v18.19849001807

Keywords:

Mammography, Scattering, Monte Carlo

Abstract

In the process of image formation in mammography, scattered radiation reaching the receptor results in degradation of the final image quality and resolution, compromising diagnosis. Understanding the distribution pattern of scattered radiation is crucial for the development and enhancement of processing techniques aimed at correcting mammographic images. In this study, Monte Carlo simulations were employed to map the distribution of scattered radiation in digital mammography, considering breast thicknesses ranging from 2 to 8 cm and tube potentials ranging from 24 to 32 kV. With the results obtained from the simulations, it was possible to estimate the scatter-to-primary ratio (SPR) and mean radial extension (k) of the scatter profile. The results indicate that thicker breasts generate greater deposition of scattered radiation on the image receptor, and such breasts exhibit a scattering curve that decays along the radial distance less steeply than thinner breasts. Both SPR and k values show increasing behavior with breast thickness. Thus, it is observed that breast thickness is the factor that most contributes to changing the scattered radiation profile, with thicker breasts being most affected by scattering. These findings may be useful for the development of new image correction techniques aimed at improving diagnostics using mammography.

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References

Instituto Nacional De Câncer José Alencar Gomes Da Silva. Estimativa 2023: incidência do Câncer no Brasil. Rio de Janeiro: INCA, 2022. Disponível em: https://www.gov.br/inca/ptbr/assuntos/cancer/numeros/estimativa

Santos M de O, Lima FC da S de, Martins LFL, Oliveira JFP, Almeida LM de, Cancela M de C. Estimativa de Incidência de Câncer no Brasil, 2023-2025. Rev. Bras. Cancerol. [Internet]. 6º de fevereiro de 2023 [citado 19º de março de 2024];69(1):e-213700. Disponível em: https://rbc.inca.gov.br/index.php/revista/article/view/3700

Gonzalez Trotter DE, Tkaczyk JE, Kaufhold J, Claus BEH, Eberhard JW. Thickness-dependent scatter correction algorithm for digital mammography. Em: Antonuk LE, Yaffe MJ, organizadores. Medical Imaging 2002: Physics of Medical Imaging. SPIE; 2002.

Fieselmann A, Fischer D, Hilal G, Dennerlein F, Mertelmeier T, Uhlenbrock D. Full-field digital mammography with grid-less acquisition and software-based scatter correction: investigation of dose saving and image quality. Em: Nishikawa RM, Whiting BR, organizadores. Medical Imaging 2013: Physics of Medical Imaging. SPIE; 2013.

Marimón E, Nait-Charif H, Khan A, Marsden PA, Diaz O. Scatter reduction for grid-less mammography using the convolution-based image post-processing technique. Em: Flohr TG, Lo JY, Gilat Schmidt T, organizadores. Medical Imaging 2017: Physics of Medical Imaging. SPIE; 2017.

Salvagnini E, Bosmans H, Struelens L, Marshall NW. Quantification of scattered radiation in projection mammography: Four practical methods compared. Med Phys [Internet]. 2012;39(6Part1):3167–80. Disponível em: http://dx.doi.org/10.1118/1.4711754.

PENELOPE-2014 A code system for Monte Carlo simulation of electron and photon transport [Internet]. Nuclear Energy Agency (NEA). 2020 [citado 26 de março de 2024]. Disponível em: http://www.oecd-nea.org/jcms/pl_19590/penelope-2014-a-code-system-for-monte-carlo-simulation-of-electron-and-photon-transport?details=true

Dance DR, Thilander AK, Sandborg M, Skinner CL, Castellano IA, Carlsson GA. Influence of anode/filter material and tube potential on contrast, signal-to-noise ratio and average absorbed dose in mammography: a Monte Carlo study. Br J Radiol [Internet]. 2000;73(874):1056–67. Disponível em: http://dx.doi.org/10.1259/bjr.73.874.11271898

Díaz Montesdeoca O. Scattered radiation in projection X-ray mammography and digital breast tomosynthesis [Internet]. University of Surrey; 2013. Disponível em: http://eia.udg.edu/~oliverdiaz/ODiaz_thesis2013.pdf.

Published

2024-09-23

How to Cite

Dias Martins Santos, T., Rodrigues de Lima, W., Kleber dos Santos Garcia, F., & Merigue da Cunha, D. (2024). Evaluation of the Scattering Profile of Radiation in Digital Mammography Using Monte Carlo Simulations. Brazilian Journal of Medical Physics, 18, 807. https://doi.org/10.29384/rbfm.2024.v18.19849001807

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Artigo Original