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Updated: May 9, 2026

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation
Published on: September 4, 2017
Evaluation of dose modulation software through the assessment of body mass index, radiation dose and image noise
Cory P Daignault1, Jie Zhang, Hongfei Guo
1Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA. daign002@umn.edu
Purpose:
This study attempts to establish a quantitative link between a patient's body mass index (BMI), the delivered radiation dose, and the image noise.
Methods:
The CARE Dose4D computed tomography (CT) acquisitions from 206 patients undergoing "eyes-to-thighs" contrast-enhanced positron emission tomography/CT studies were retrospectively examined. Computed tomography dose index volume (CTDIVOL), mAs, and dose-length product were recorded from the dose report card. The image noise was quantified by evaluating the SD of regions of interest placed over the contrast enhanced aorta.
Results:
The multivariate regressions f(BMI, mAs) and f(BMI, CTDIVOL) had R values of 0.4840 and 0.4802, respectively. Unpaired t tests demonstrate that statistically significant difference in image noise required more than 12.17 kg/m of separation between the average BMI values for the groups compared.
Conclusions:
The evaluation of image noise with BMI and CTDIVOL or mAs is a means to evaluate the consistency of dose modulation software. There is considerable variability in the radiation dose generated by the CARE Dose4D software.
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