This course is about medical imaging and how it can be applied to study the human body in health and disease. The course deals with various methods that are common in both clinical practice and in medical research to study organ function and detect diseases. The course introduces general image properties and common reconstruction and analysis techniques. The course then deals with the four major imaging modalities: X-ray / computed tomography, nuclear medicine with emphasis on positron emission tomography (PET), ultrasound and magnetic resonance imaging (MRI). For each imaging modality, an overview of the instrumentation and relevant physics theory is given. A significant part of the course is devoted to algorithms used in the analysis of medical images. Computer laboratories for medical image analysis provide relevant practical experience with methods to facilitate the interpretation of collected data. The course is given in English.
The course consists of two parts: Module 1, theoretical work, 5 credits Module 2, laboratory work, 2.5 credits
The course's laboratory work is based on real challenges in medical image processing, taken from ongoing research projects at the department. The emphasis of the laboratories is on image analysis.
The information below is only for exchange students
1 November 2022
15 January 2023
Type of studies
At least 90 ECTS, of which 20 ECTS in physics, 5 ECTS in statistics and 5 ECTS in basic programming. Proficiency in English to meet the general entry requirements for higher studies in Sweden.
Students applying for courses within a double degree exchange agreement, within the departments own agreements will be given first priority. Then will - in turn - candidates within the departments own agreements, faculty agreements, central exchange agreements and other departmental agreements be selected.
This application round is only intended for nominated exchange students. Information about deadlines can be found in the e-mail instruction that nominated students receive.
The application period is closed.