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Updated: Jun 15, 2026

Clinical Imaging of Microwave Mammography

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Computed radiography simulation using the Monte Carlo code MCNPX.

S C A Correa¹, E M Souza, A X Silva

¹[Programa de Engenharia Nuclear]/COPPE, Universidade Federal do Rio de Janeiro, Ilha do Fundão, Rio de Janeiro, RJ, Brasil.

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|March 16, 2010

Summary

This summary is machine-generated.

This study introduces a new method for simulating X-ray images using Monte Carlo code. The simulation accurately reproduces experimental data, aiding in the analysis of imaging parameters.

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Clinical Imaging of Microwave Mammography

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Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

Published on: May 7, 2021

Area of Science:

Medical Physics
Radiological Imaging
Computational Science

Background:

Simulating X-ray images is crucial for understanding the impact of operating parameters on image quality.
Accurate simulation methods are needed to analyze and optimize X-ray imaging systems.

Purpose of the Study:

To propose and validate a procedure for simulating computed radiographic images.
To assess the feasibility of using Monte Carlo simulations for X-ray imaging analysis.

Main Methods:

Utilized the Monte Carlo code MCNPX for simulation.
Incorporated the sensitivity curve of BaFBr image plate detectors.
Accounted for the characteristic noise of a 16-bit computed radiography system.

Main Results:

The proposed simulation procedure was found to be satisfactory.
Simulated results demonstrated good agreement with experimental data.
The method allows for the analysis of X-ray image behavior under varying parameters.

Conclusions:

The developed Monte Carlo simulation method is effective for generating realistic computed radiographic images.
This approach provides a reliable tool for studying the influence of operational parameters on X-ray imaging.
The simulation's accuracy supports its use in further research and development of radiological imaging techniques.