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Efficient Online 4D Magnetic Resonance Imaging
(IEEE COMPUTER SOC, 2021-01-01)
Cross-modality deep learning: Contouring of MRI data from annotated CT data only.
(2020-11-30)
Purpose Online adaptive radiotherapy would greatly benefit from the development of reliable auto-segmentation algorithms for organs-at-risk and radiation targets. Current practice of manual segmentation is subjective and ...
Patterns of practice for adaptive and real-time radiation therapy (POP-ART RT) part I: Intra-fraction breathing motion management.
(2020-12)
Purpose The POP-ART RT study aims to determine to what extent and how intra-fractional real-time respiratory motion management (RRMM) and plan adaptation for inter-fractional anatomical changes (ART), are used in clinical ...
Statistical Motion Mask and Sliding Registration
(SPRINGER INTERNATIONAL PUBLISHING AG, 2018-01-01)
Dose verification of dynamic MLC-tracked radiotherapy using small PRESAGE (R) 3D dosimeters and a motion phantom
(IOP PUBLISHING LTD, 2019-01-01)
Characterization of small PRESAGE (R) samples for measurements near the dosimeter edges
(IOP PUBLISHING LTD, 2019-01-01)
Computational modelling of the cerebral cortical microvasculature: effect of x-ray microbeams versus broad beam irradiation.
(2017-05)
Microbeam Radiation Therapy is an innovative pre-clinical strategy which uses arrays of parallel, tens of micrometres wide kilo-voltage photon beams to treat tumours. These x-ray beams are typically generated on a synchrotron ...
Towards Real Time Radiotherapy Simulation
(SPRINGER, 2020-06-27)
Fast CPU-based Monte Carlo simulation for radiotherapy dose calculation.
(2015-08)
Monte-Carlo (MC) simulations are considered to be the most accurate method for calculating dose distributions in radiotherapy. Its clinical application, however, still is limited by the long runtimes conventional implementations ...