Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2973
Title: Thorax CT Dose Reduction Based on Patient Features: Effect of Patient Characteristics on Image Quality and Effective Dose
Authors: Koç, Gizem
Koç, Zafer
Kaniyev, Tahir
Kokangül, Ali
17222
Keywords: Operational topics
computed tomography
dose
low
radiation dose
Issue Date: 2019
Publisher: Lippincott Williams and Wilkins
Source: Koc, G. G., Koc, Z., Kaniyev, T., & Kokangul, A. (2019). Thorax CT Dose Reduction Based on Patient Features: Effect of Patient Characteristics on Image Quality and Effective Dose. Health physics, 116(5), 736-745.
Abstract: Computed tomography (CT) radiation dose reduction is vital without compromising image quality. The aim was to determine the effects of patient characteristics on the received radiation dose and image quality in chest CT examinations and to be able to predict dose and image quality prior to scanning. Consecutive 230 patients underwent routine chest CT examinations were included. CT examination and patients input parameters were recorded for each patient. The effect of patients' demographics/anthropometrics on received dose and image quality was investigated by linear regression analysis. All parameters were evaluated using an artificial neural network (ANN). Of all parameters, patient demographics/anthropometrics were found to be 98% effective in calculating dose reduction. Using ANN on 60 new patients was more than 90% accurate for output parameters and 91% for image quality. Patient characteristics have a significant impact on radiation dose and image quality. Dose and image quality can be determined before CT. This will allow setting the most appropriate scanning parameters before the CT scan.
URI: https://hdl.handle.net/20.500.11851/2973
ISSN: 179078
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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