Medial Image Registration, Short Course | Part time online | KTH Royal Institute of Technology | Sweden
2 months
Tuition fee
Apply date
Start date


The Medial Image Registration course offered by KTH Royal Institute of Technology 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.


What you will study

The Medial Image Registration course offered by KTH Royal Institute of Technology covers concepts, theories, and the most used methods in image registration. The course is focused on solving medically relevant problems.

After completing the course, the participant should be able to:
  • Understand the key issues and challenges in image registration
  • Describe the main principles and methods and the main differences between them
  • Summarize the advantages and disadvantages and scope of different methods
  • Identify and understand the mathematical theory behind the most used methods
  • Develop and systematically evaluate different methods for solving simplified problems
  • Analyze the effect of different parameters of methods in particular situations
  • Explain the proposed strategy for solving specific problems
in order to:
  • understand the complete workflow for using computational tools for image registration in a medical context
  • be able to implement computational solutions in image registration to medically relevant problems
  • have a broad knowledge base that can facilitate understanding literature in the field

Programme Structure

The program focuses on:

  • Overview of image registration
  • Linear registration
  • Non-linear registration
  • Registration with a priori information
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.

Key information


  • Part-time
    • 2 months

Start dates & application deadlines


TOEFL admission requirements TOEFL® IBT





Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT

Other requirements

General requirements

  • Bachelor's degree in Medical Technology, Engineering Physics, Electrical Engineering, Computer Science or equivalent. 
  • At least 6 credits in programming. 
  • English B/English 6.

Tuition Fee


Other interesting programmes for you

Our partners

Medial Image Registration
KTH Royal Institute of Technology
Medial Image Registration
KTH Royal Institute of Technology


Go to your profile page to get personalised recommendations!