Programming for Medical Imaging

Course description:

In the area of medical imaging, it is necessary to create computer programs to process and analyse image data. This course deals with both the theoretical knowledge and practical skills of working with (large) image datasets.

You will learn how to write source code and create a computer program to process medical images efficiently. This includes debugging and problem solving.

The course includes algorithms and data structures used in medical image analysis. Modern programming techniques are used, paying attention to efficient computer instructions and memory usage.

This course will be online in Microsoft Teams, for which you need to log in with your UU account.

Learning goals: upon completion of the course the student

  • is able to create a computer program using C++ and ITK
  • can debug source code and fix issues
  • has understanding on how source code affects computer execution and memory
  • has knowledge on algorithms and data structures for medical image processing

Literature/study material used:


  • First computer assignment: 10%
  • Second computer assignment: 30%
  • Written exam: 60%

The weights indicated above are applied to calculate the final mark. To pass the course the final mark must be an unrounded 5.5 or higher. In case of an insufficient grade (between 4.0 and 5.49), you are allowed to do a make-up assignment or re-exam.

Date: every Friday from 17 September – 5 November 2021; starting with two extra sessions in the first week on Monday morning 13 September and Wednesday morning 15 September

Mandatory for students in Master’s programme: yes

Optional for students in other GSLS Master’s programmes: yes


Please check the registration procedure for the enrollment deadlines. First year Medical Imaging students will be automatically registered upon entering the Master’s programme.

Other UU and TU/e partnership students can register for this course via Osiris Student.

Students from outside the UU or TU/E partnership can register for this course by sending an email to Please include your name, student number, Master’s programme and the course code.