Development and Evaluation of a Webcam-Based Digital X-Ray Machine Detector with Variable Current and Light Intensity Settings

X-ray images typically appear as film sheets upon development after undergoing chemical processing. To address these challenges, endeavors were undertaken to create digital X-ray detectors utilizing more cost-effective equipment. This approach involves harnessing variations in current and light intensity to discern disparities in image quality. The noteworthy contribution of this study lies in its ability to exhibit inverted images captured through webcam cameras, subject to prior image processing via the MATLAB application. The utilized measurement ranges encompass 20, 32, and 40 mA, while maintaining a fixed irradiation duration of 1 second and varying the illumination intensity across low, medium, and high levels at a constant 60kV setting. The obtained measurements reveal that the X-Ray Image Capture Device can be juxtaposed with images produced by the Philip brand Digital Radiography, evaluated through the acquired Mean Squared Error (MSE) values. The best picture in this experiment is using system parameter settings with kv of 60kV, 20mA and with low light intensity, and using the PH101 phototransitor. Conversely, the least favorable image records an MSE value of 66.4552p^2 under 60kV 20mA conditions, employing the PH101 Phototransistor sensor and high light intensity. In summary, the outcomes of this study indicate the efficacy of the tool in capturing X-ray images.

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Publication Details

Journal
Indonesian Journal of Electronics Electromedical Engineering and Medical Informatics
Published
2025-08-17
DOI
https://doi.org/10.35882/ijeeemi.v5i4.188
Primary Topic
Advanced X-ray and CT Imaging
Type
article
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article

Development and Evaluation of a Webcam-Based Digital X-Ray Machine Detector with Variable Current and Light Intensity Settings

Muhammad Ridha Mak’ruf, Rajashree Narendra, Triwiyanto Triwiyanto, Yassin Nimir
Indonesian Journal of Electronics Electromedical Engineering and Medical Informatics
Advanced X-ray and CT Imaging
article

Development and Evaluation of a Webcam-Based Digital X-Ray Machine Detector with Variable Current and Light Intensity Settings

Muhammad Ridha Mak’ruf, Rajashree Narendra, Triwiyanto Triwiyanto, Yassin Nimir
article en

Abstract

X-ray images typically appear as film sheets upon development after undergoing chemical processing. To address these challenges, endeavors were undertaken to create digital X-ray detectors utilizing more cost-effective equipment. This approach involves harnessing variations in current and light intensity to discern disparities in image quality. The noteworthy contribution of this study lies in its ability to exhibit inverted images captured through webcam cameras, subject to prior image processing via the MATLAB application. The utilized measurement ranges encompass 20, 32, and 40 mA, while maintaining a fixed irradiation duration of 1 second and varying the illumination intensity across low, medium, and high levels at a constant 60kV setting. The obtained measurements reveal that the X-Ray Image Capture Device can be juxtaposed with images produced by the Philip brand Digital Radiography, evaluated through the acquired Mean Squared Error (MSE) values. The best picture in this experiment is using system parameter settings with kv of 60kV, 20mA and with low light intensity, and using the PH101 phototransitor. Conversely, the least favorable image records an MSE value of 66.4552p^2 under 60kV 20mA conditions, employing the PH101 Phototransistor sensor and high light intensity. In summary, the outcomes of this study indicate the efficacy of the tool in capturing X-ray images.

Indonesian Journal of Electronics Electromedical Engineering and Medical InformaticsVol. 5(4)
Mutah University (JO), Eskom (South Africa) (ZA)
Openalex Percentile: Top 80%
Advanced X-ray and CT Imaging
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Development and Evaluation of a Webcam-Based Digital X-Ray Machine Detector with Variable Current and Light Intensity Settings — Muhammad Ridha Mak’ruf, Rajashree Narendra, et al. · Indonesian Journal of Electronics Electromedical Engineering and Medical Informatics (2025) | TGRS Research Map | TGRS