A Study of the response function and radiographic techniques and processing influence on digital radiology image quality
DOI:
https://doi.org/10.29384/rbfm.2024.v18.19849001781Keywords:
digital radiology, image quality, response functionAbstract
The implementation of a quality assurance program for radiography equipment is crucial not only to ensure image quality but also for the radiological protection of patients and involved professionals. This study focus on evaluation of image quality parameters and investigate the response function of digital detectors at the Instituto de Radiologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InRad/HCFMUSP), using the method described in document n°39 IAEA. The analysis of the response functions of the studied radiation detectors showed distinct behaviors, influencing the resulting signal value. Voltage, distance, and focus were the parameters that most influenced image quality metrics, resulting in a maximum coefficient of variation of 14.2% for contrast (SDNR) and 12.2% for signal-to-noise ratio (SNR). It was found that processing types influence image quality parameters as well as the Exposure Index (EI), with a maximum variation of 87%. It was possible to conclude that the simulator object used is suitable for obtaining the response function of digital detectors and that image quality metrics depend on technical, geometric, and processing configurations.
Downloads
References
International Atomic Energy Agency. Implementation of a remote and automated quality control programme for radiography and mammography equipment, IAEA human health series, ISSN 2075–3772 ; no. 39; 2021.
World Health Organization. Quality Assurance in Diagnostic Radiology. Geneva: WHO; 1982.
Lança L, Silva A. Digital radiography detectors e A technical overview: Part 1. Elsevier. 2008; 15(1):58-62.
Yoshimura EM, Okuno E. Física das radiações. Brazil: Editora Oficina de Textos; 2010.
Bushberg JT, Seibert JA, et al. The essential physics of medical imaging. Philadelphia: Lippincott Williams & Wilkins; 2012.
Bourne R. Fundamentals of Digital Imaging in Medicine. New York, Springer, 2010.
Francisco MF. Método da avaliação de resolução espacial em sistemas digitais de mamografia através do uso da MTF. Revista Brasileira de Física Médica. 2018;12(3):26-29.
Braga LF, Pimentel RB, et al. Metodologia de análise e interpretação dos indicadores de exposição (EI) e seus desvios (DI) em radiologia computadorizada. Revista Brasileira de Física Médica. 2019; 13(3):33-37.
Shepard SJ, Wang J. An exposure indicator for digital radiography: AAPM Task Group 116 (Executive Summary). Medical Physics. 2009; 36(7):2898-2914.
International Atomic Energy Agency. ATIA. v20210903, IAEA, 2021. Available from: https://humanhealth.iaea.org/HHW/MedicalPhysics/DiagnosticRadiology/PerformanceTesting/AutomatedQAinRadiology/index.html .
National Institutes of Health. ImageJ. v1.53f, NIH, 2022. Available from: https://imagej.nih.gov/ij/.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Breno de Oliveira Feitosa, Amanda Fernandes Nascimento, Denise Yanikian Nersissian
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The submission of original articles to the Brazilian Journal of Medical Physics implies the transfer, by the authors, of the rights of print and digital publication. Copyright for published articles remains with the author, with journal rights on first publication. Authors may only use the same results in other publications by clearly indicating this journal as the original publisher. As we are an open access journal, free use of articles in educational, scientific, non-commercial applications is allowed, as long as the source is cited.
The Brazilian Journal of Medical Physics is under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
