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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 10, 2024.
Abstract: X-ray dosimetry practices are guided by international standards and regulatory agencies to ensure the safety of patients, radiation workers, and the general public. This paper introduces the Smart X-ray Geiger Data Logger, a comprehensive system designed to enhance radiation safety through integrated detection, control, and dose evaluation. This study is based on the M4011 Geiger-Müller tube, exploiting ionization effects to measure radiation doses accurately. The system features an advanced algorithm for real-time exposure risk assessment, ensuring adherence to safety limits during medical procedures. Equipped with Wi-Fi connectivity, the device facilitates seamless data transmission and integration with centralized databases for comprehensive exposure monitoring and historical data analysis. The MQTT protocol is utilized for secure and efficient data transmission, ensuring the protection of sensitive information. A user-friendly interface provides instant feedback on radiation levels, cumulative doses, and procedural safety, supported by visual indicators and auditory alarms for immediate alerts. Experimental validation demonstrates the system's reliability in various settings, confirming its utility in optimizing radiation protection strategies and fostering safer environments in the healthcare field.
Lhoucine Ben Youssef, Abdelmajid Bybi, Hilal Drissi and El Ayachi Chater, “Smart X-Ray Geiger Data Logger: An Integrated System for Detection, Control, and Dose Evaluation” International Journal of Advanced Computer Science and Applications(IJACSA), 15(10), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151096
@article{Youssef2024,
title = {Smart X-Ray Geiger Data Logger: An Integrated System for Detection, Control, and Dose Evaluation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151096},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151096},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {10},
author = {Lhoucine Ben Youssef and Abdelmajid Bybi and Hilal Drissi and El Ayachi Chater}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.