• Aims: to educate foundation-level knowledge of human anatomy, physiology, biology and pathology (with focus on cancer) relevant to medical physics.

  • Aims: to introduce students to the major medical imaging technique employed in hospitals and enable students to develop a basic familiarity with imaging subspecialty to the general concepts of imaging science, including signal processing, system performance, linear system theory, digital image processing, image formation, reconstruction, quantification and decision theory.

  • Aims: to describe in detail the principles of  dosimetry, definitions of dosimetric quantities, the relationship between the various dosimetric quantities, the structure and operation of various types of dosimeters, the content of relevant code of practices for dosimetry measurements in diagnostic and interventional radiology and in radiation oncology.
  • Teacher: Renato Padovani

  • Aims: to provide the basic biological and physiological background for understanding the effects of radiation on human tissues and resulting safety policies and therapy regimes.

  • Aims: to provide an understanding of the physics of detectors commonly used in X-ray and gamma ray imaging. This module is intended to complement the other related courses.
  • Teacher: Ralf Menk

  • Aim: to focuse on applications of statistics to Medicine and Medical Physics; the open-source software JAMOVI (easy-to-use) will be used in order to analyze data.
  • Teacher: prof. Ilaria GANDINĀ 

  • University laboratory exercises: Luca Brombal, Federico Dogo
  • Hospital exercises: Paola Bregant (coordinator), Rossella Vidimari, Marco Signoriello, Stefano Ren Kaiser, Maria Rosa Fornasier, Mara Severgnini