Neuer Master Kurs “Technologies in Radiotherapy”

Starting in WS25/26, the Institute of Biomedical Engineering (IBT) will offer the new Master course Technologies in Radiotherapy. The course is worth 5 ECTS and combines lectures, excursions, and a hands-on group project.

The course Technologies in Radiotherapy introduces students to the physics, biology, and clinical workflow of modern radiation therapy. It is designed to provide a broad foundation in radiotherapy technologies, from fundamental beam interactions to advanced treatment modalities such as adaptive therapy and FLASH.

Strahlenbunker mit LINAC-Gerät zur modernen Strahlentherapie in der Onkologie.The course is divided into three main parts:

  • Fundamentals of radiotherapy – beams and accelerators, radiobiology, clinical workflow, and patient set-up.
  • Treatment planning systems – algorithms for dose calculation, imaging integration, and hands-on introduction to software such as 3D.
  • Emerging technologies and clinical translation (seminar sessions) – adaptive radiotherapy, advanced machine, advanced particle therapy, synthetic CT, and FLASH radiotherapy.

Schedule:

  • Weekly lecture on Tuesdays 11:30–13:00, Room 30.34.SR LTI.
  • Practical sessions in the IBT lab room (dates to be arranged).
  • The course will include an excursion to a radiotherapy facility.
  • Four independent seminar sessions (Emerging technologies and clinical translation from late November onwards) with required attendance for two of them.

Evaluation:

  • 50% written exam
  • 50% group project (individual presentation)

Language:

  • English

Course coordination by Prof. Francesca Spadea aided by PhD. Alexander Pryanichnikov and MSc. Joana Leitão, with invited speakers for different sessions.

The course is limited to maximum 20 students where the priority is given to:

  1. Master students of Biomedical Engineering
  2. ETIT Master students with specialization in Biomedical Engineering.
  3. ETIT and Computer Science Master Students who have attended some course in medical imaging.
  4. Master students of other disciplines with strong interest in medical images.

Recommended skills: 

  • Basic knowledge in medical physics, biology, or medical imaging. 
  • Interest in computational tools and teamwork.