共 60 条
[1]
Sarno A.(2016)Monte Carlo evaluation of normalized glandular dose coefficients in mammography Lect. Notes Comput. Sci. 9699 190-196
[2]
Mettivier G.(2021)Breast cancer, screening, and diagnostic tools: All you need to know Crit. Rev. Oncol. Hematol. 157 103174-654.e5
[3]
di Lillo F.(2019)Higher risk breast screening: Cancer detection rates, recall rates, and attendance rates in Northern Ireland Clin. Radiol. 74 654.e1-723
[4]
Russo P.(2016)Cancer risk estimation in Digital Breast Tomosynthesis using GEANT4 Monte Carlo simulations and voxel phantoms Phys. Med. 32 717-413
[5]
Barba D.(2018)Calculating individual lifetime effective risk from initial mean glandular dose arising from the first screening mammogram J. Med. Imaging Radiat. Sci. 49 406-18
[6]
Gibson E.(2017)Optimization of the exposure parameters in digital mammography using contrast-detail metrics Phys. Med. 42 13-260
[7]
Ferreira P.(2013)Experimental assessment of the influence of beam hardening filters on image quality and patient dose in volumetric 64-slice X‑ray CT scanners Phys. Med. 29 249-4917
[8]
Baptista M.(2004)Monte Carlo simulation of X-ray spectra in diagnostic radiology and mammography using MCNP4C Phys. Med. Biol. 49 4897-271
[9]
di Maria S.(2008)E. Manzanares-Acu na, V. M. Hernández-Dávila, R. Hernández Villasana, and G. A. Mercado, “Mammography X-ray spectra simulated with Monte Carlo AIP Conf. Proc. 1032 208-383
[10]
Vaz P.(2009)Monte Carlo simulation of X-ray spectra and evaluation of filter effect using MCNP4C and FLUKA code Appl. Radiat. Isot. 67 266-156