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The Effect of Tube Current Variations on Cranium Radiograph Images Using the MATLAB Program Nurul Auliyaa Hasbi; Asmiati Amir; Muhammad Yunus; Nurul Jannah Jamal; Nurbeti Salam; Muh. Rusli
Jurnal Penelitian Pendidikan IPA Vol 11 No 11 (2025): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i11.13042

Abstract

Matrix Laboratory (MATLAB) is a software based on matrices, which is easy to use for solving various mathematical and computing problems. This study aimed to determine how variations in tube current (mA) affect the radiographic image of the cranium using the MATLAB program and to assess the program's quantification of this effect. The sample in this study consisted of 3 volunteers who performed AP projection cranial radiography examinations with varying tube current at Pelamonia TK. II Hospital, Makassar. Each sample had the same treatment in patient preparation, examination position, examination projection, and the same exposure factor value, which differed only in the use of tube current values, ​​where the volunteer 1 with 200 mA, the volunteer 2 with 250 mA and volunteer 3 with 320 mA. Measurement of the quality of the AP projection cranium image with tube current of 200 mA, the percentage was 96.11%. At 250 mA, the percentage was 95.00%; at 320 mA, it dropped to 92.78%. It was determined that the optimal tube current variation was 200 mA with the highest percentage in measuring the image quality (density, contrast, sharpness, and detail) of the AP projection Cranium against variations in tube current is almost perfect.
Faktor-Faktor Penyebab Pengulangan Citra pada Modalitas Digital Radiography: Sebuah Studi Observasional Muhammad Rusli; Nurul Aulyaa Hasbi; Nurul Jannah Jamal
Lontara Journal of Health Science and Technology Vol. 7 No. 2 (2026): Juli-Desember 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Politeknik Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53861/lontarariset.v7i2.654

Abstract

Digital radiography produces digital images whose quality determines the accuracy of the diagnosis. The method to ensure quality is image repeat analysis. The study aims to analyze the percentage of repeat images of Digital Radiography (DR) modality in the Radiology Installation of Bhayangkara Hospital Makassar in March - April 2025. The method used in this study is quantitative with an observational approach. Data were collected through direct observation and recording of daily examinations as well as data from the DR consult computer for the period March to April 2025. The results of the study stated that the average percentage of repeat radiographic images in March-April 2025 was 3.41% in March 2.18% and in April 2.1%. Factors causing repeat radiographic images were patient position 24.1%, exposure factor 15.52%, patient movement 18.97%, artifacts 36.21%, and tool error 5.17%. The percentage of repeat radiographic images decreased in March and April 2025, exceeding the limit set by the Decree of the Minister of Health Number 129/Menkes/S/II/2008, which is ≤ 2%. The dominant factor causing repeat radiographic images is the artifact factor.