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Anam, C, Adi, K, Sutanto, H, Arifin, Z, Budi, W S, Fujibuchi, T, Dougherty, G. (1399). Noise Reduction in CT Images Using a Selective Mean Filter. سامانه مدیریت نشریات علمی, 10(5), 623-634. doi: 10.31661/jbpe.v0i0.2002-1072
C Anam; K Adi; H Sutanto; Z Arifin; W S Budi; T Fujibuchi; G Dougherty. "Noise Reduction in CT Images Using a Selective Mean Filter". سامانه مدیریت نشریات علمی, 10, 5, 1399, 623-634. doi: 10.31661/jbpe.v0i0.2002-1072
Anam, C, Adi, K, Sutanto, H, Arifin, Z, Budi, W S, Fujibuchi, T, Dougherty, G. (1399). 'Noise Reduction in CT Images Using a Selective Mean Filter', سامانه مدیریت نشریات علمی, 10(5), pp. 623-634. doi: 10.31661/jbpe.v0i0.2002-1072
Anam, C, Adi, K, Sutanto, H, Arifin, Z, Budi, W S, Fujibuchi, T, Dougherty, G. Noise Reduction in CT Images Using a Selective Mean Filter. سامانه مدیریت نشریات علمی, 1399; 10(5): 623-634. doi: 10.31661/jbpe.v0i0.2002-1072

Noise Reduction in CT Images Using a Selective Mean Filter

Journal of Biomedical Physics and Engineering
مقاله 12، دوره 10، شماره 5، دی 2020، صفحه 623-634    اصل مقاله (1.33 M)
نوع مقاله: Original Research
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.2002-1072
نویسندگان
C Anam* 1؛ K Adi1؛ H Sutanto1؛ Z Arifin2؛ W S Budi1؛ T Fujibuchi3؛ G Dougherty4
1PhD, Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Jl. Prof. Soedarto SH, Tembalang, Semarang 50275, Central Java, Indonesia
2MSc, Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Jl. Prof. Soedarto SH, Tembalang, Semarang 50275, Central Java, Indonesia
3PhD, Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
4PhD, Department of Applied Physics and Medical Imaging, California State University Channel Islands, Camarillo, CA 93012, USA
چکیده
Background: Noise reduction is a method for reducing CT dose; however, it can reduce image quality.
Objective: This study aims to propose a selective mean filter (SMF) and evaluate its effectiveness for noise suppression in CT images.
Material and Methods: This experimental study proposed and implemented the new noise reduction algorithm. The proposed algorithm is based on a mean filter (MF), but the calculation of the mean pixel value using the neighboring pixels in a kernel selectively applied a threshold value based on the noise of the image. The SMF method was evaluated using images of phantoms. The dose reduction was estimated by comparing the image noise acquired with a lower dose after implementing the SMF method and the noise in the original image acquired with a higher dose. For comparison, the images were also filtered with an adaptive mean filter (AMF) and a bilateral filter (BF).
Results: The spatial resolution of the image filtered with the SMF was similar to the original images and the images filtered with the BF. While using the AMF, spatial resolution was significantly corrupted. The noise reduction achieved using the SMF was up to 75%, while it was up to 50% using the BF.
Conclusion: SMF significantly reduces the noise and preserves the spatial resolution of the image. The noise reduction was more pronounced with BF, and less pronounced with AMF.
کلیدواژه‌ها
X-Rays؛ Computed Tomography؛ Image Quality؛ Noise؛ Image Processing؛ Algorithms؛ Selective Mean Filter؛ Noise Reduction
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