Aims:  to provide an understanding of basic principles and structure of brachytherapy, treatment planning systems, dose calculation and optimization algorithms for HDR, LDR and PDR, source and points position reconstruction, acceptance testing, commissioning and QC of after-loading equipment (LDR, HDR, PDR), sources and applicators, imaging systems in brachytherapy.

Teacher: Chiara Tenconi (IRCCS Istituto Tumori, Milano, Italy)

 ***The module is split into different parts

Aims: to provide an understanding of the principles of photon and electron dose calculation algorithms, the limitations of dose calculation algorithms for heterogeneity corrections in low-density tissue, in presence of tissue interfaces or metallic implants, different categories of dose calculation algorithms (correction-based, model-based, Monte Carlo, Boltzmann equation solvers) and the process of commissioning a TPS. 

To provide an overview of AI and deep learning method, in particular, and to discuss some application and examples of DL tools applied to a TPS

  • Aims: to enable students to understand and apply some basic concepts in information technology with an emphasis on networking. This module is intended to build medical physics student’s knowledge of integrated information technology (IT) systems applied to health care and to describe its impacts on hospital productivity.
  • Teacher: Annalisa Trianni

  • Aims: to provide the students with underpinning radiation protection knowledge including assessment of internal exposures, protection against occupational exposure in nuclear medicine, radioactive waste management.

  • Teacher: Mara Severgnini

  • Aims: to develop exercise on dosimetry applied in interventional radiology and cardiology
  • Teacher: Renato Padovani