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.
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
- Programming: Principles and Practice Using C++ (second edition), Bjarne Stroustrup, ISBN: 9780321992789
Note: this book is mandatory and will be used throughout the course. Make sure you have it before the start of the course and bring it to the practical sessions.
- PPP-style guide (PDF)
- Microsoft Visual Studio Community 2022
- 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 4.00 and 5.49), you are allowed to do a make-up assignment or re-exam.
Date: every Friday from 16 September – 11 November 2022; starting with one extra session in the first week on Wednesday morning 14 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 firstname.lastname@example.org. Please include your name, student number, Master’s programme and the course code.
For directions to the lecture rooms go to Route.