The course is divided into two modules:
- Postprocessing methods for reducing artifacts in MRI
- Methods for group comparisons
The course aims to provide the students with a thorough understanding of postprocessing tools for reducing artifacts in magnetic resonance imaging (MRI) and performing group analyses.
Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
Autumn 2024 Start 28 Oct 2024 single courses students
10092
The course is divided into two modules:
After successful completion of the course the students should be able to
In order to:
Completed degree project 15 credits, 15 credits in mathematics, 15 credits in physics, 6 credits in programming. Alternatively, 1 year of professional experience in medical technology, technical physics, electrical engineering, or computer science. English 6/B.
If the course is discontinued, students may request to be examined during the following two academic years.
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.