Medial Image Registration

About this programme

This course aims to study the most used methods in 3D image registration (alignment of images) and their use in medical applications. Image registration is one of the most fundamental tasks in medical image processing and it is ubiquitous in environments where images are acquired from patients. Please note that Students not located in Sweden may have problems attending a course at KTH. You could meet obstacles if you're required to pay fees or if you do not have a Swedish Mobile BankID. Please note: all information from the Course syllabus is available on this page in an accessible format. The course consists of lectures, laboratories, mathematical exercises, and an exam. Participants combine basic and advanced software libraries for image registration in Python, including scipy, numpy, SimpleITK, scikit-image, etc. The course also includes introductory labs for students with programming experience but no Python experience. Image registration is used to align images from the same or different modalities to each other. Image registration is important for the diagnosis and treatment of various diseases. The course covers concepts, theories, and the most used methods in image registration. The course is focused on solving medically relevant problems. Bachelor's degree in Medical Technology, Engineering Physics, Electrical Engineering, Computer Science or equivalent. At least 6 credits in programming. English B/English 6. Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disab