Analisis Reduksi Dosis Efektif Mata Pada Fantom Menggunakan TLD Mata dengan Implementasi Software Organ Dose Modulation (ODM) dan Eyeshield pada Protokol CT Kepala dengan Alat GE Revolution Evo 128 Slice

Autor: Lutfiana Desy Saputri, Instalasi Radiologi Rs Indriati Solobaru, Sukoharjo, Jawa Tengah, Dito Andi Rukmana, Bambang Dwinanto, Veronika Saron Kamantuh
Rok vydání: 2021
Zdroj: Jurnal Pengawasan Tenaga Nuklir. 1:26-30
ISSN: 2798-513X
Popis: The eye is one of the sensitive organs that need attention in the head CT-Scan. This study aims to reduce the effective eye dose on a head CT-Scan using ODM (Organ Dose Modulation) software and use eyeshield on the phantom. The study was conducted using a CT-Scan tool GE Revolution Evo 128 Slice. The research method was carried out by placing three pairs of eye TLDs (Hp3 Dosimeters) on the phantom for the three examination configurations, CT-Scan standard (routine) examinations, examinations using ODM software, and examinations using ODM software and eyeshield. The estimated effective dose calculation based on TLD reading for the eye lens on a standard CT-Scan (routine) is 1.29 mSv. Examination with ODM software is 1.03 mSv. Examination with ODM software and eyeshield of 0.9 mSv. Based on the results obtained, a head CT-Scan with ODM software can reduce the dose by 20% from a routine head CT-Scan, and if added with an eyeshield, it can reduce the dose by 30%. The quality of the image produced by implementing ODM software, SNR value decreased from 39 to 35 in the anterior phantom, central and posterior parts remained. However, the change in SNR value is not significant, so it does not change the image quality. Furthermore, the addition of eyeshield does not alter the SNR value, which means that the addition eyeshield does not cause artifacts that affect image quality. Using ODM and eyeshield software is indeed a little more complicated than a routine head CT-Scan. Still, the benefits obtained are pretty significant, reducing the effective dose received by the eye without reducing image quality.
Databáze: OpenAIRE