The teaching is organized as follows:

Learning objectives

The course aims at providing students with the applied and theoretical basis for processing biomedical images and extract useful information from them to support the diagnosis process. Knowledge and understanding. At the end of the course, the student shall demonstrate that he/she can apply the material discussed in the lectures to solve effectively the most common issues that may happen throughout a typical analysis pipeline, from the acquisition of the raw images to the correct interpretation of the information extracted from them. Applying knowledge and understanding. In particular, at the end of the course the student shall demonstrate to be able to: a) open, handle and manipulate the multidimensional data acquired with the major imaging modalities (X-rays, magnetic resonance imaging, nuclear medicine and ultrasounds); b) evaluate advantages, disadvantages and peculiarities of each modality; c) interpret correctly the content of such images and be able to link them to physical and biological features of the tissue/organ under exam. Making judgements. The student will be able to develop an analysis pipeline to extract useful information from such biomedical images and help the diagnostic process, applying at each step the most adequate processing choices for the specific data at hand. Communication. At the end of the course, the student shall demonstrate the ability to effectively interact with different collaborators having specific backgrounds typically required in a clinical study based on medical imaging, e.g. engineers, physicists, physicians etc. Lifelong learning skills. He/she will also have the required foundations to be able to elaborate further on any scientific, methodological and recent advances in the field beyond the content of the lectures to extend such basic techniques to diverse and more complex analysis scenarios.