2021
DOI: 10.3390/ijerph18105203
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Proper Management of the Clinical Exposure Index Based on Body Thickness Using Dose Optimization Tools in Digital Chest Radiography: A Phantom Study

Abstract: In radiography, the exposure index (EI), as per the International Electrotechnical Commission standard, depends on the incident beam quality and exposure dose to the digital radiography system. Today automatic exposure control (AEC) systems are commonly employed to obtain the optimal image quality. An AEC system can maintain a constant incident exposure dose on the image receptor regardless of the patient thickness. In this study, we investigated the relationship between body thickness, entrance surface dose (… Show more

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Cited by 4 publications
(9 citation statements)
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“…This study conducted, additional experiments to utilize clinical EI to monitor the patient dose. Based on the result that clinical EI varies according to patient body shape under the same exposure conditions confirmed through previous studies [ 18 ] and data analysis in section 2.2 of this paper, the conversion formula was developed to derive the entrance surface dose (ESD) from clinical EI.…”
Section: Methodsmentioning
confidence: 87%
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“…This study conducted, additional experiments to utilize clinical EI to monitor the patient dose. Based on the result that clinical EI varies according to patient body shape under the same exposure conditions confirmed through previous studies [ 18 ] and data analysis in section 2.2 of this paper, the conversion formula was developed to derive the entrance surface dose (ESD) from clinical EI.…”
Section: Methodsmentioning
confidence: 87%
“…However, the EI of the radiographic images used in this study showed various distributions. Even if the same dose was exposed, the EI could vary due to the difference in the detector's incident dose depending on the patient's body thickness through the phantom experiment in a previous study [ 18 , 19 ]. Accordingly, in this study, the effect of a patient's body shape on EI was confirmed using actual clinical image data.…”
Section: Methodsmentioning
confidence: 99%
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