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International Journal of Health Science and Technology
Published by Universitas Aisyiyah Yogyakarta
ISSN : -     EISSN : 26858673     DOI : https://doi.org/10.31101/ijhst
Core Subject : Humanities, Health, Engineering,
Humanities Engineering Health Professions Nursing Public Health
International Journal of Health Science and Technology published since July 2019 with ISSN Online: 2685-8673 by LPPM Universitas Aisyiyah Yogyakarta. IJHST Published third a year in January, July and November. This journal contains research papers as results of research which have already been reviewed by reviewers in the field of health, science and technology. Every article that goes to the editorial staff will be selected through Initial Review processes by Editorial Board. Then, the articles will be sent to peer reviewers and will go to the next selection by Blind Review Process. After that, the articles will be returned to the authors to revise. These processes take a month for a maximum time. For each manuscript, peer reviewers will rate the substantial and technical aspects, peer reviewers who collaborate with International Journal of Health Science and Technology. 1. Health 2. Science 3. Technology
Arjuna Subject : Profesi Kesehatan - Profesi Kesehatan (Lain-Lain)
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Search results for , issue "Vol. 4 No. 3 (2023): April" : 1 Documents clear
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.

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