Aarhus University Hospital
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We do pre-clinical and experimental research, translational and clinical research within radiation oncology, medical physics and radiobiology.
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Our research activities are centred around MRI, brain cancer and radiotherapy.
The group focus on the entire process of radiotherapy for cervix cancer including imaging, treatment planning, treatment delivery and patient outcome.
We use Artificial Intelligence to develop and deploy novel methods for effective and personalized radiotherapy treatment planning.
National and international collaboration is key to gather clinical evidence for proton therapy.
We work with clinical data – images, dose distributions and clinical outcomes – with the aim of improving treatment for future patients.
We wish to improve the understanding of biological response of radiation and interaction with cancer and healthy tissue to optimise treatment, e.g. in FLASH.
Exploring new proton therapy techniques, the role of secondary particles and LET spectra in optimizing RBE for superior clinical outcomes.
We work with two strategies to improve radiotherapy; to minimise motion during treatment and to deliver radiotherapy with ultra-high dose rates (FLASH).
We focus on finding the optimal radiotherapy strategy for lung and oesophageal cancer patients through research projects and clinical trials.
We aim to improve the accuracy of tumour segmentation on medical imaging with interactive deep-learning based image segmentation and a spectral microCT scanner.
We develop scintillator-based dosimeters with a high temporal resolution for pre-clinical and clinical studies in both proton and photon therapy.
