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Monte carlo modeling of magnification mode for quantitative assessment of image quality in mammography systems

Safarzadeh Amiri, A ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/MeMeA.2019.8802219
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. Scattered radiations are one of the most important factors in the degradation of the image quality of mammography systems. Some techniques have been proposed for the reduction of such rays. Magnification mode can be done by increasing the air gap which determined by the distance of the breast and image intensifier. It is one of the useful techniques to elevate the produced image quality due to the rejection of scattered photons. Monte Carlo N-Particle eXtended transport code (MCNPX) version 2.7.0 is a software package for the simulation of physical processes. In this work, this computer code is used for analyzing the effects of magnification mode on mammographic image quality. To this analysis, the phase space file technique and ∗F1 tally capabilities are used to quantify the scattered photons. An empirical method was used for the simulation of x-ray photons. The evaluated parameters for the quantification assessment of image quality were scatter-to-primary ratio (SPR) and the contrast improvement factor (CIF). Analyses in a wide range of breast thicknesses, tube voltages, and magnification degrees have been carried out. Results have shown that if the magnification factor is changed from 1.2 to 2, the CIF can be increased by about 27%, 36%, and 53% for the breast thicknesses 3, 5 and 8 cm, respectively. Therefore, improved image quality could provide more clues to an accurate diagnosis
  6. Keywords:
  7. Contrast ; Magnification ; MCNPX code ; Monte-Carlo method ; Phase space file ; Codes (symbols) ; Computer software ; Image enhancement ; Light scattering ; Mammography ; Medical imaging ; Monte Carlo methods ; Neutron detectors ; Phase space methods ; Photons ; Quality control ; Mammographic image quality ; Monte carlo n particles ; Phase-space files ; Quantitative assessments ; Scatter-to-primary ratio ; Image quality
  8. Source: 2019 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2019, 26 June 2019 through 28 June 2019 ; 2019 ; 9781538684276 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8802219