https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9164 Wed 11 Apr 2018 11:29:56 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40278 Thu 28 Jul 2022 13:54:47 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12469 Sat 24 Mar 2018 08:16:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11723 Sat 24 Mar 2018 08:07:24 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21587 Sat 24 Mar 2018 08:00:43 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17686 Sat 24 Mar 2018 07:57:43 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17685 Sat 24 Mar 2018 07:57:27 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21552 p > 0.9) were found between CT and pseudo-CT Hounsfield units for organs of interest. Mean ± standard deviation DSC scores for the atlas-based segmentation of the pelvic bones were 0.79 ± 0.12, 0.70 ± 0.14 for the prostate, 0.64 ± 0.16 for the bladder, and 0.63 ± 0.16 for the rectum. Conclusions: The electron-density atlas method provides the ability to automatically define organs and map realistic electron densities to MRI scans for radiotherapy dose planning and DRR generation. This method provides the necessary tools for MRI-alone treatment planning and adaptive MRI-based prostate radiation therapy.]]> Sat 24 Mar 2018 07:50:23 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23444 Sat 24 Mar 2018 07:13:32 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49725 Mon 29 May 2023 15:48:45 AEST ]]>