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VOL. 12, ISSUE 12 (2025)
Analysis of the effect of exposure factors and Zn filter thickness on radiographic images in head X-ray examinations
Authors
Lutfi Azizah, Pandji Triadyaksa, Zaenul Muhlisin
Abstract
One of the key determinants of image quantity
and quality is exposure. Research on the impact of exposure factors and zinc
(Zn) filter thickness typically uses quantitative evaluation parameters, such
as SNR and CNR. Several studies on the effects of exposure factors and Zn
filter thickness using an anthropomorphic head phantom still have limitations,
such as a lack of information on how exposure factors and Zn filter thickness
affect radiographic images in head examinations. Therefore, this study aims to
analyze the influence of variations in exposure factors and Zn filter thickness
on SNR and CNR as evaluation parameters in radiographic images. The study used
radiographic images of an anthropomorphic head phantom with tube voltage (kV) ranging
from 60 kV to 80 kV in 5 kV intervals, tube current-time variations of 50 mAs,
40 mAs, 32 mAs, 25 mAs, and 20 mAs, and Zn filters with thicknesses of 0 mm,
0.2 mm, 0.4 mm, 0.6 mm, and 0.8 mm. The radiographic images of the
anthropomorphic head phantom in the soft-tissue area had five ROI sizes with a
5 mm diameter. In the background-intensity area, there were five ROI sizes with
a 10 mm diameter. This study analyzed the mean pixel intensity and background
intensity, and calculated SNR and CNR values in the images using the Micro
Dicom Viewer software. The study found that for soft tissue, the highest SNR
was obtained with a 0.4 mm Zn filter (383.54), whereas for hard tissue, the
highest SNR was obtained without a Zn filter (2418.66). The highest CNR was
also observed without the Zn filter, at 2113.97. The mean and background pixel
intensities affect the quantity and quality of radiographic images in head
phantom examinations. As the mean and background pixel intensities increase,
image quality decreases, as indicated by reductions in SNR and CNR.
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Pages:104-107
How to cite this article:
Lutfi Azizah, Pandji Triadyaksa, Zaenul Muhlisin "Analysis of the effect of exposure factors and Zn filter thickness on radiographic images in head X-ray examinations". International Journal of Multidisciplinary Research and Development, Vol 12, Issue 12, 2025, Pages 104-107
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