509516 - IMAGING AND SPECTROSCOPY FOR ENVIRONMENT AND HEALTH

**Knowledge and understanding**: Students will learn the basis aspects of NMR, MRI, CT, PET/SPECT together with the techniques used for the image reconstruction and analysis. **Applying Knowledge and Understanding**: In the theoretical part, student should acquire a suitable knowledge to be able to describe image formation in the most common imaging modalities and how they are analyzed. In the practical part, the students will get hands-on knowledge about how image are displayed, generated, denoised and analyzed. **Making Judgements**: Students will critically assess the challenges inherent in medical image analysis, such as ambiguous observables, limited datasets, and making robust judgements of AI-algorithm performances. **Communication**: Studens in this area will learn to appropriately interact with researchers, medical physicists, physicians, engineers, biologists and so on, that perform Imaging experiments and medical exams. **Learning Skills**: By engaging with both theoretical content and practical exercises, students will develop the skills necessary for independent learning and research in the interdisciplinary field of AI and medical imaging. The last part will be dedicated to introduce the techniques used for automated medical image analysis including radiomics and AI methods