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Optimasi Penggunaan Faktor Eksposi Pemeriksaan Ossa Manus dengan Kualitas Citra Objektif dan Subjektif Muhammad Irsal; Muhammad Rival Alfajri; Vincentius Deva Ananta; Khairil Anwar; Sriyatun Sriyatun
Jurnal Kesehatan Vol 12, No 3 (2021): Jurnal Kesehatan
Publisher : Politeknik Kesehatan Tanjung Karang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26630/jk.v12i3.2653

Abstract

In producing a good radiographic image, an optimization method is needed. This study was conducted to seek optimization of the radiographic examination of the manus ossa with objective and subjective image quality analysis. The research method is quantitative experimental, using a variety of exposure factors: 40kV 4 mAs, 40kV 10 mAs, 46 kV 5 mAs, 53 kV 2,5 mAs, 61kV 1,25 mAs. Then an objective quality analysis is carried out by measuring the pixels value, Signal to Noise Ratio (SNR), and the Exposure Index (EI) value as an indicator of exposure. For subjective image analysis with the assessment of image anatomy criteria using the method Visual Grading Analysis (VGA), then the test was carried out Wilcoxon to determine the relationship of respondents to VGA assessment. The results of the study obtained that the optimization method of the examination manus ossa at the exposure factor of 46 kV 5 mAs with the results of an objective image quality analysis of the range of pixel value  183,7 - 3, the SNR range of 12,2-1,77 while the subjective image quality analysis of the results VGA all images on a variety of exposure factors can be used in establishing a diagnosis. For the exposure indicator with the lowest EI at an exposure factor of 46 kV 5 mAs. The results of the Wilcoxon p-value>0,05 so that there was no difference in the VGA value by 2 radiographers, therefore all image results on variations in exposure factors could be used in the radiographic examination of the ossa manus.
ANALYSIS OF THE SIGNAL TO NOISE RATIO IN USE OF 15% KVP RULE METHOD IN THE RADIOGRAPHY EXAMINATION SUPINE AP CHEST Shinta Gunawati Sutoro; Muhammad Irsal; Tri Asih Budiati; Andri Yansyah
Indonesian Physical Review Vol. 5 No. 2 (2022)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v5i2.141

Abstract

The exposure factor is one of the important parameters in optimizing the radiographic examination. This study aimed to analyze the value of the Signal To Noise Ratio (SNR) against the use of the 15% kV rule method in the examination of Chest AP Supine. Descriptive quantitative research method conducted in the laboratory of the Department of diagnostic imaging and radiotherapy, Health Polytechnic of the Ministry of Health, Jakarta 2, using computer radiography, X-rays, piranha radiation detectors, and anthropomorphic phantoms, with statistical analysis of the Pearson test to determine the level of relationship between SNR and Exposure Index (EI). Against the 15% kV rule method, then the one-way ANOVA test to determine the effect of the 15% method on changes in value. The results of the Pearson test obtained a p-value of 0.820 with a strong relationship between SNR and EI against the 15% kV method. Therefore, using an exposure factor of 15% kV rule method makes it possible to control the SNR and EI values. The one way ANOVA test has a p-value of 0.943, so there is no significant difference in the SNR value to changes in the exposure factor with the 15% kV rule method so that the optimization of the exposure factor with the 15% kV rule method can reduce the radiation dose while maintaining the image quality radiographic
Effect of Tube Voltage on the Use of Iterative Reconstruction on Computed Tomography Brain Examination Muhammad Irsal; Nurbaiti Nurbaiti; Aulia Narendra Mukhtar; Shinta Gunawati; Wahyu Hidayat
Jurnal Teori dan Aplikasi Fisika Vol 9, No 1 (2021): Jurnal Teori dan Aplikasi Fisika
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v9i1.2715

Abstract

Iterative reconstruction can optimize radiation dose and improve image quality on CT scan. This research method is quantitative analytic with the analysis of the results of the head CT examination parameters associated with image quality to changes in variations of 80 kV, 100 kV, 120 kV with the use of iterative reconstruction. Image quality measurements are the Hounsfield Unit (HU) value, standard deviation, and Signal to Noise Ratio (SNR) using Radiant Viewers. Effective dose measurement using the Dose Length Product (DLP). Then perform the Kruskal Wallis test to determine the difference in the SNR value to tube tension and Iterative Reconstruction using IBM SPSS version 24. The image quality results of the HU value increase due to changes in the kV value, but the value does not change significantly when the iDose changes, for standard deviation experiences decrease due to changes in kV, but the value of the value does not experience a significant change at the time of change in iDose, while SNR increases due to changes in kV value and changes in iDose. The percentage ratio of the effective dose in the use of standard kV with 80 kV decreased radiation dose by 62%, while at 100 kV there was a decrease of 25%, and the use of 120 kV experienced an increase of 25%. The results of the Kruskal Wallis test p-value <0.001, therefore it can be concluded that there is a difference in the SNR image quality at each change in iDose and kV parameters.