https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Monte Carlo simulation of the transit dosimetric response of an a-Si electronic portal imaging device https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17163 98% of points passing a gamma analysis with 3%/3 mm criterion for all field sizes. The simulated anthropomorphic head phantom image shows macroscopic anatomical features and qualitatively agrees with the measured image. Results validate the suitability of the MC model for predicting EPID response in transit dosimetry.]]> Wed 11 Apr 2018 12:00:20 AEST ]]> Deformable image registration for cervical cancer brachytherapy dose accumulation: organ at risk dose-volume histogram parameter reproducibility and anatomic position stability https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34518 2cc and D0.1cc) for bladder and rectum were compared with dose summation without DIR. Reproducibility of DIR results was assessed for different methods of implementation based on adding contour biases added to the DIR algorithm. VolD2cc and VolD0.1cc structures were created from the overlap of the D2cc and D0.1cc isodose and the bladder or rectum, respectively. The overlap of VolD2cc and VolD0.1cc structures was calculated using the Dice similarity coefficient. Results: DIR accumulated D2cc and D0.1cc decreased by an average of 2.9% and 4.2% for bladder and 5.08% and 2.8% for rectum compared with no DIR. DIR was most reproducible when the bladder or rectum contour was masked. The average Dice similarity coefficient was 0.78 and 0.61 for the bladder D2cc and D0.1cc as well as 0.83 and 0.62 for rectal D2cc and D0.1cc, respectively. Conclusions: Dose decreases were observed for accumulated DVH parameters using DIR. Adding contour-based biases to the algorithm increases the reproducibility of D2cc and D0.1cc accumulation. The anatomic position of VolD2cc was more stable than VolD0.1cc.]]> Fri 22 Mar 2019 13:04:07 AEDT ]]>