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.
1Faculty of Industrial Engineering, Cukurova University, ADANA, Turkey;
2Faculty of Medicine, Department of Radiology, Baskent University, ANKARA, Turkey;
3Faculty of Industrial Engineering, TOOB Economy University, ANKARA, Turkey.
The authors declare no conflicts of interest.
(Manuscript accepted 23 September 2018)
Gizem Gul Koc was born in Gaziantep–Turkey. In high school, she completed her education at Seyhan Ceas Anatolian High School. Then she attended university at Ankara as an industrial engineer student in Baskent University. As soon as she finished her undergraduate degree, she passed her post graduate interview in TOBB Economy and Technology University. After Gizem finished her Master of Science, she returned to her home town, Adana. She has started her doctoral thesis at Cukurova University. Gizem likes to learn foreign languages, play volleyball, swim, take photographs, and listen to and play music. She also likes to travel around the world and see new histories and places. Her email is firstname.lastname@example.org.