New Master Course “Medical Image Processing for guidance and navigation”

A new course for Master Students will be offered since SS24. “Medical Image Processing for guidance and navigation”, will be worth 6 ECTs for a total of 4 hours per week of lectures/practical exercises plus the accomplishment of a group project.
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Medical Image Processing for guidance and navigation

The course of Medical Image Processing for guidance and navigation is designed to provide students with the knowledge and skills required to analyze, interpret, and process medical images with the aim of guiding medical procedures and/or navigating within the human body during interventions or therapies.

The language of the lecture is English.

The course consists of three parts:

  1.  Medical Imaging technologies for planning and in-room navigation, where the requirements and the set up for the hardware required in the OR are illustrated.
  2. Medical Image Processing, which introduces the basics of analysing and extracting quantitative information from images. This part exploits the use of Python and Jupyter notebooks.
  3. Surgical navigation, dedicated to tracking system and image registration.

Among the possible clinical use cases are neurosurgery, radiotherapy, interventional cardiology orthopaedics.

The lecturers of the course are Prof. Francesca Spadea, MSc. Ciro Raggio, MSc. Domenico Riggio.

The course is limited to maximum 30 students where the priority is given to:

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

The following expertise/skills are recommended:
-    Basic knowledge in the field of medical imaging;
-    Knowledge of basic programming concept;
-    Familiarity with Linux environment;
-    Basic knowledge of linear algebra (transformations);
-    Attitude towards teamwork and code management in Git;
It is also preferable to have access to a personal computer or desktop.

The course will take place every Tuesday from 9.45 to 11.15 and from 11.30 to 13.00

The course will probably include an excursion to a company

To enroll to the course please write an email to mf.spadea∂kit.edu motivating your choice.