Semi-automated image segmentation and registration, facilitating multi-modal image analysis for selective internal radiation therapy (SIRT) KU Leuven
The aim of this project is to develop dedicated image alignment (registration) and AI-based segmentation techniques in order to extract more information from these images. This will lead to more accurate dose calculations and treatment verification, which in turn will improve the efficacy of the therapy.