https://nova.newcastle.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:4541 Wed 11 Apr 2018 17:13:13 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:17106 Wed 11 Apr 2018 17:01:24 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:17103 Wed 11 Apr 2018 15:30:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:17100 Wed 11 Apr 2018 15:17:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:17105 Wed 11 Apr 2018 14:38:42 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:5391 Wed 11 Apr 2018 13:41:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:17196 Wed 11 Apr 2018 13:31:39 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:4540 Wed 11 Apr 2018 13:22:45 AEST ]]> 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 ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:18869 Wed 11 Apr 2018 09:20:07 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:53153 Tue 21 Nov 2023 11:09:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:52776 Thu 26 Oct 2023 14:54:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:43126 Thu 02 Nov 2023 13:16:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:5608 Sat 24 Mar 2018 11:04:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:8013 Sat 24 Mar 2018 08:42:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:7127 10% of maximum, in-field signal). Using the continuous acquisition mode, the EPID response was not linear with dose. It was found that the continuous mode dose response corresponded approximately to dropping one image per acquisition session. Reproducibility of EPID response to low monitor units (MUs) was found to be poor but greatly improved with increasing MU. Open field profiles were found to be stable in the cross-plane direction but required several frames to become stable in the in-plane direction. However, both of these issues are clinically insignificant due to arc-IMRT deliveries requiring relatively large monitor units (>100 MU). Analysis of the five IMRT, arc, and arc-IMRT tests revealed that all examples compared to within 2% of maximum dose for more than 95% of in-field pixels. The continuous acquisition mode is suited to time-resolved dosimetry applications including arc-IMRT and dynamic IMRT, giving comparable dose results to the well-studied integrated acquisition mode, although caution should be used in low MU applications. Time-resolved EPID dose information also compared well to time-resolved ion-chamber measurements.]]> Sat 24 Mar 2018 08:34:10 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:12414 Sat 24 Mar 2018 08:14:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:12124 Sat 24 Mar 2018 08:08:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:21376 Sat 24 Mar 2018 07:51:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:21551 Sat 24 Mar 2018 07:50:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:27483 Sat 24 Mar 2018 07:25:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:24544 Sat 24 Mar 2018 07:11:33 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:19879 10% maximum field dose) for each case, over all fields. Conclusions: This work presents the first validation of the integration of a comprehensive fluence model with a patient and EPID radiation transport model that accounts for patient transmission, including complex factors such as patient scatter and the energy response of the a-Si detector. The portal dose image prediction model satisfies the 3% and 3 mm criteria for IMRT fields delivered to slab phantoms and could be used for patient treatment verification.]]> Fri 10 Nov 2023 15:59:41 AEDT ]]>