Basic Medical Image Visualization

About this programme

Medical image visualization focuses on medical applications. Visualization in a medical context is used for different purposes, including diagnosis with radiological data, treatment planning, intraoperative support, data annotation, and educational purposes, among others. This course covers the basic concepts, theories, and most used methods used for exploring and interacting with images in medical applications. 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 and laboratories. The participants will combine VTK (the Visualization Toolkit) in Python with other libraries. The course also includes introductory labs for students with programming experience but without experience in Python. Content: 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. 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. If the course is discontinued, students may request to be examined during the following two aca