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Mamsim: A computational software platform for measuring and optimizing imaging and dosimetry parameters in screen-film and digital mammography systems

Khodajou Chokami, H ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1109/MeMeA49120.2020.9137174
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2020
  4. Abstract:
  5. The aim of this work is to develop a mammography Monte Carlo MCNP-FBSM based simulation platform called 'MamSim' that is able to model the detailed geometry and physics of commercial screen-film and digital mammography units. This simulation platform is designed to enable the virtual assessment and optimization of mammography protocols and parameters for obtaining the desired image quality while diminishing radiation dose to the patient in both contact and magnification modes. A graphical user interface generates MCNP-FBSM input files for simulating mammography units under various geometries and imaging protocols. We considered the full simulation of all components of mammography procedure including x-ray tube, collimator, compression paddle, the stylized model of breast phantoms with various diameters and thicknesses consisting of the skin layer and typically 50% glandular tissue, table, linear anti-scatter grid, and image detector. The accuracy of MamSim to estimate dose to the patient and detect primary and scattered radiations was assessed through comparison with previously published simulated data and experimental results, demonstrating good agreement. Therefore, MamSim is a powerful toolkit for the optimization of geometrical design parameters, and assessment of the effects of various protocols/system parameters on image quality and dose to the patient. © 2020 IEEE
  6. Keywords:
  7. Dosimetry ; Mammography imaging ; MamSim ; Monte-Carlo method ; Optimization ; Geometry ; Graphical user interfaces ; Medical imaging ; Simulation platform ; X ray detectors ; X ray tubes ; Anti-scatter grids ; Computational software ; Desired image qualities ; Digital mammography system ; Geometrical designs ; Glandular tissue ; Scattered radiations ; Image quality
  8. Source: 15th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2020, 1 June 2020 through 3 June 2020 ; July , 2020
  9. URL: https://ieeexplore.ieee.org/document/9137174