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Muhamad Faik
Universitas 'Aisyiyah Yogyakarta
Humanities Engineering Health Professions Nursing Public Health

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Differences in the quality of paranasal sinuses CT images in sinusitis case by slice thickness variations Muhamad Faik; Rini Indrati
International Journal of Health Science and Technology Vol 3, No 3 (2022): April
Publisher : Universitas 'Aisyiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (237.157 KB) | DOI: 10.31101/ijhst.v3i3.2440

Abstract

One of the parameters that has an effect on the quality of paranasal sinuses CT image is slice thickness. According to Zojaji et al (2015), paranasal sinuses CT Scan with an indication of sinusitis should be made with a slice thickness of 5 mm, while at the Department of Radiology of Telogorejo Hospital Semarang, paranasal sinuses CT Scan is made with a slice thickness of 3.2 mm. This study aims to find out the effect of variations in slice thickness setting in imaging quality and determine the best setting of the three selected slice thicknesses in producing high quality of the paranasal sinuses CT image. This study was conducted at the Department of Radiology of Telogorejo Hospital, Semarang. The research sample is a paranasal sinuses CT of coronal slices in cases of sinusitis taken by accidental sampling techniques. Data regarding the quality of the paranasal sinuse CT image were collected through a check list by five radiologists. The results of the study showed that there were differences in the quality of images by three slice thicknesses. The three best slice thickness settings to produce high quality image were 3.2 mm, then 5 mm and the last 7.5 mm. 
Optimization of image quality of non-contrast urography CT tracking with the selection of the right iDose4 level iterative reconstruction technique Muhamad Faik
International Journal of Health Science and Technology Vol. 4 No. 3 (2023): April
Publisher : Universitas 'Aisyiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31101/ijhst.v4i3.2798

Abstract

Optimal urinary tract image and able to identify differences in urinary tract image information on urography CT is urography CT tracking image with a thin slice thickness parameter of 1 mm (Sulaksono et al., 2016). However, the thinner the slice thickness will produce high noise that can affect the diagnosis. The FBP algorithm, the standard algorithm for image reconstruction on CT scans, produces streak artifacts and significantly increases image noise when the radiation dose is reduced tremendously (Willemink, de Jong et al., 2013; Willemink, Leiner et al., 2013). Iterative reconstruction iDose4 is a fourth-generation image reconstruction technique that can significantly improve image quality, noise reduction, and radiation dose reduction. This study aims to determine the difference in noise values and diagnostic information of non-contrast urography CT tracking images with variations in FBP and iDose four reconstruction techniques. This type of research is experimental research. Data collection began in May 2022 to June 2022 at the Radiology Installation of RSUD Salatiga City. The results showed that selecting iDose4 level 6 iterative reconstruction techniques produced the best image quality and diagnostic information on coronal tracking images of urinary tract CT non-contrast urography. Therefore, the iDose4 level 6 iterative reconstruction technique should be used as a standard protocol for conducting non-contrast urography CT examinations.
Co-Authors Rini Indrati