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Dose optimisation in paediatric radiography – Using regression models to investigate the relative impact of acquisition factors on image quality and radiation dose

Dose optimisation in paediatric radiography – Using regression models to investigate the relative impact of acquisition factors on image quality and radiation dose Thumbnail


Abstract

Objective To investigate the optimum pelvis X-ray acquisition factors for a 10-year-old child. Secondly, to evaluate the impact of each acquisition factor on image quality (IQ) and radiation dose. Method Images were acquired using a pelvis phantom and a range of acquisition parameters; e.g. tube potential, additional filtration and source-to-image distance (SID). Automatic exposure control (AEC) was used with two orientations (head towards/away from two outer chambers) and three different chamber selections. Visual IQ was evaluated using relative and absolute-VGA methods. Radiation doses were measured by placing a dosimeter on the anterior surface of the phantom. Regression analysis was used to determine optimum parameters. Results The optimised technique (178.8?µGy), with diagnostic IQ, was with 89kVp, 130?cm SID and with 1?mm Al?+?0.1?mm Cu filtration. This technique was with the head towards the two outer AEC chambers. Regression analysis showed that SID had the lowest impact on IQ (ß?=?0.002 95% CI -0.001 to 0.005) and dose (ß?=?-0.96 95% CI -0.40 to -1.53). The impact of filtration on dose (ß?=?-76.24 95% CI -86.76 to -85.72) was higher than tube potential (ß?=?-13.44 95% CI -14.34 to -12.53). The following impact ratios were higher on IQ than radiation dose: filtration/kVp; 11.28 times, filtration/SID; 7.01 times and kVp/SID; 0.62 times. Conclusion Optimised parameters were identified as 89 kVp, 130?cm SID and with 1?mm Al?+?0.1?mm Cu additional filtration. Regression analysis demonstrated that filtration and tube potential had the greatest effect on radiation dose and IQ, respectively.

Acceptance Date Oct 21, 2019
Publication Date Nov 18, 2019
Journal Physica Medica
Print ISSN 1120-1797
Publisher Elsevier
Pages 61 -68
DOI https://doi.org/10.1016/j.ejmp.2019.10.034
Keywords Pelvis radiography; Paediatric dose reduction; Regression analysis; Exposure factor impact; Digital radiography
Publisher URL http://doi.org/10.1016/j.ejmp.2019.10.034

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