- Exploitation of different image modalities, such as Computed Tomography (CT), anatomical and quantitative Magnetic Resonance Imaging (MRI), for radiotherapy treatment personalization. Among the investigated functional MRI techniques, a speficic focus is given to Diffusion-Weighted MRI (DW-MRI)
- Implementation of standardized and innovative image processing approaches, such as radiomics and machine learning, for patient stratification and treatment response prediction (Radiomics and Artificial Intelligence)
- Implementation of personalized tumor control probability and radiobiological models, by improving state-of-the-art methods with patient-specific image-related information
- Digital phantoms of micro-structural models are combined to Monte Carlo simulations of diffusion-weighted MR signals to better understand the interaction of the radiation beam with the tissue, especially for particle therapy applications.
