https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46306 2 sliding window (SW) field moving at 2.5 cm/s orthogonal to the row readout direction. The latency of each panel type was determined by averaging the results of two panels of the same type. Geometric correction was achieved by computing leaf positions with respect to the projected isocenter position as a function of gantry angle. This was determined by averaging the central axis position of fields at two collimator positions of 90° and 270°. The radiological to physical leaf end position was determined by comparison of the measured gap with that determined using a feeler gauge. The radiological to physical leaf position difference was found to be 0.1 mm. With geometric and latency correction, the proposed method was found to be improve the ability to detect dynamic MLC positions from 1.0 to 0.2 mm for all leaves. Latency and panel residual geometric error correction improve EPID-based MLC position measurement. These improvements provide for the first time a trajectory log QA procedure.]]> Wed 15 May 2024 15:47:58 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38923 Wed 03 Apr 2024 14:21:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29751 Tue 16 Mar 2021 10:50:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25773 Tue 16 Mar 2021 10:50:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29466 Tue 16 Mar 2021 10:49:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34236 Tue 03 Sep 2019 18:22:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34592 in vivo EPID dosimetry for patients treated at the specific centre. Sampling patients for generating the control limits were limited to 100 patients. Whilst the quantitative results are specific to the clinical techniques and equipment used, the described method is generally applicable to IMRT and VMAT treatment QA. Whilst more work is required to determine the level of clinical significance, the authors have demonstrated the capability of the method for both treatment specific QA and continuing quality improvement. Practical implications: The proposed method is a valuable tool for assessing the accuracy of treatment delivery whilst also improving treatment quality and patient safety. Originality/value: Assessing in vivo EPID dosimetry with SPC can be used to improve the quality of radiation treatment for cancer patients.]]> Thu 28 Oct 2021 12:37:07 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48039 Error). For simulated field size errors, the RMS_Error was 0.47 cm² and field shape changes were detected for random errors with standard deviation ≥ 2.5 mm. For clinical lung SABR deliveries, field location errors of 1.6 mm (parallel MLC motion) and 4.9 mm (perpendicular) were measured (expressed as a full-width-half-maximum). The mean and standard deviation of the errors in field size and shape were 0.0 ± 0.3 cm² and 0.3 ± 0.1 (expressed as a translation-invariant normalized RMS). No correlation was observed between geometric errors during each treatment fraction and dosimetric errors in the reconstructed dose to the target volume for this cohort of patients. Conclusion: A system for real-time delivery verification has been developed for MLC tracking using time-resolved EPID imaging. The technique has been tested offline in phantom-based deliveries and clinical patient deliveries and was used to independently verify the geometric accuracy of the MLC during MLC tracking radiotherapy.]]> Thu 23 Mar 2023 10:25:03 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33870 Mon 21 Jan 2019 10:42:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19690 Fri 20 Jul 2018 15:04:41 AEST ]]>