Browsing by author "Oelfke, Uwe"
Now showing items 1-20 of 71
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3D tumour spheroids for the prediction of the effects of radiation and hyperthermia treatments.
(2020-02-03)For multimodality therapies such as the combination of hyperthermia and radiation, quantification of biological effects is key for dose prescription and response prediction. Tumour spheroids have a microenvironment that ... -
Adaptive Radiotherapy Enabled by MRI Guidance.
(2018-11)Adaptive radiotherapy (ART) strategies systematically monitor variations in target and neighbouring structures to inform treatment-plan modification during radiotherapy. This is necessary because a single plan designed ... -
Alanine dosimetry in strong magnetic fields: use as a transfer standard in MRI-guided radiotherapy.
(2020-06-03)Reference dosimetry in the presence of a strong magnetic field is challenging. Ionisation chambers have shown to be strongly affected by magnetic fields. There is a need for robust and stable detectors in MRI-guided ... -
Assessment of MLC tracking performance during hypofractionated prostate radiotherapy using real-time dose reconstruction.
(2016-02)By adapting to the actual patient anatomy during treatment, tracked multi-leaf collimator (MLC) treatment deliveries offer an opportunity for margin reduction and healthy tissue sparing. This is assumed to be especially ... -
Automatic reconstruction of the delivered dose of the day using MR-linac treatment log files and online MR imaging.
(2020-01-10)BACKGROUND AND PURPOSE:Anatomical changes during external beam radiotherapy prevent the accurate delivery of the intended dose distribution. Resolving the delivered dose, which is currently unknown, is crucial to link ... -
Beam selection for stereotactic ablative radiotherapy using Cyberknife with multileaf collimation.
(2019-02)The Cyberknife system (Accuray Inc., Sunnyvale, CA) enables radiotherapy using stereotactic ablative body radiotherapy (SABR) with a large number of non-coplanar beam orientations. Recently, a multileaf collimator has also ... -
A cellular automaton model for spheroid response to radiation and hyperthermia treatments.
(2019-11-27)Thermo-radiosensitisation is a promising approach for treatment of radio-resistant tumours such as those containing hypoxic subregions. Response prediction and treatment planning should account for tumour response ... -
Characterization of small PRESAGE (R) samples for measurements near the dosimeter edges
(IOP PUBLISHING LTD, 2019-01-01) -
Combining radiation with hyperthermia: a multiscale model informed by in vitro experiments.
(2018-01)Combined radiotherapy and hyperthermia offer great potential for the successful treatment of radio-resistant tumours through thermo-radiosensitization. Tumour response heterogeneity, due to intrinsic, or micro-environmentally ... -
Comparison of the dose escalation potential for two hypofractionated radiotherapy regimens for locally advanced pancreatic cancer.
(2019-05)Objectives:To determine the potential for dose escalation to a biological equivalent dose BED10 ≅ 100 Gy in hypofractionated radiotherapy for locally advanced pancreatic cancer (LAPC). Materials and methods:Ten unselected ... -
A comprehensive model for heat-induced radio-sensitisation.
(2018-06)Combined radiotherapy (RT) and hyperthermia (HT) treatments may improve treatment outcome by heat induced radio-sensitisation. We propose an empirical cell survival model (AlphaR model) to describe this multimodality ... -
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 ... -
Conformal image-guided microbeam radiation therapy at the ESRF biomedical beamline ID17.
(2016-06)<h4>Purpose</h4>Upcoming veterinary trials in microbeam radiation therapy (MRT) demand for more advanced irradiation techniques than in preclinical research with small animals. The treatment of deep-seated tumors in cats ... -
Consistent and invertible deformation vector fields for a breathing anthropomorphic phantom: a post-processing framework for the XCAT phantom.
(2020-08-13)Breathing motion is challenging for radiotherapy planning and delivery. This requires advanced four-dimensional (4D) imaging and motion mitigation strategies and associated validation tools with known deformations. Numerical ... -
A convolutional neural network for contouring metastatic lymph nodes on diffusion-weighted magnetic resonance images for assessment of radiotherapy response.
(2020-07)<h4>Background and purpose</h4>Retrieving quantitative parameters from magnetic resonance imaging (MRI), e.g. for early assessment of radiotherapy treatment response, necessitates contouring regions of interest, which is ... -
Cross-modality deep learning: Contouring of MRI data from annotated CT data only.
(2020-11-30)<h4>Purpose</h4>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 ... -
Daily adaptive radiotherapy for patients with prostate cancer using a high field MR-linac: Initial clinical experiences and assessment of delivered doses compared to a C-arm linac.
(2020-07)Introduction:MR-guided adapted radiotherapy (MRgART) using a high field MR-linac has recently become available. We report the estimated delivered fractional dose of the first five prostate cancer patients treated at our ... -
Dose verification of dynamic MLC-tracked radiotherapy using small PRESAGE (R) 3D dosimeters and a motion phantom
(IOP PUBLISHING LTD, 2019-01-01) -
Dosimetric accuracy of delivering SBRT using dynamic arcs on Cyberknife.
(2020-04)PURPOSE:Several studies have demonstrated potential improvements in treatment time through the use of dynamic arcs for delivery of stereotactic body radiation therapy (SBRT) on Cyberknife. However, the delivery system has ...
