• Bayesian modelling of organ deformations in radiotherapy 

      Rørtveit, Øyvind Lunde (Doctoral thesis, 2023-06-13)
      Moderne strålebehandling mot kreft er skreddarsydd for å gje ein høg stråledose tilpassa svulsten (målvolumet), mens så lite dose som mogleg vert gitt til det friske vevet omkring. Den totale dosen vert levert over nokre ...
    • An organ deformation model using Bayesian inference to combine population and patient-specific data 

      Rørtveit, Øyvind Lunde; Hysing, Liv Bolstad; Stordal, Andreas Størksen; Pilskog, Sara Margareta Cecilia (Journal article; Peer reviewed, 2023)
      Objective. Organ deformation models have the potential to improve delivery and reduce toxicity of radiotherapy, but existing data-driven motion models are based on either patient-specific or population data. We propose to ...
    • Reducing systematic errors due to deformation of organs at risk in radiotherapy 

      Rørtveit, Øyvind Lunde; Hysing, Liv Bolstad; Stordal, Andreas Størksen; Pilskog, Sara Margareta Cecilia (Journal article; Peer reviewed, 2021)
      Purpose In radiotherapy (RT), the planning CT (pCT) is commonly used to plan the full RT-course. Due to organ deformation and motion, the organ shapes seen at the pCT will not be identical to their shapes during RT. Any ...