Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
3 months
Duration
3 months
Apply date
Unknown
Unknown
Apply date
Unknown
Unknown
Start date
Unknown
Start date
Unknown
Campus location
Stockholm, Sweden
Campus location
Stockholm, Sweden
Taught in
English
Taught in
English

About

KTH Royal Institute of Technology's Medical Image Visualization course covers the concepts, theories and most used methods used for exploring and interacting with images in medical applications. 

Overview

What you will study

The course Medical Image Visualization offered by KTH Royal Institute of Technology consists of lectures, laboratories and mathematical exercises. 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.

Medical image visualization is a specific area of scientific visualization that is focused 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.

Outcomes

After completion, the participant will be able to:

  • Understand the different parts of a visualization pipeline
  • Understand the theory of the most used methods for surface and volume rendering
  • Summarize the most used techniques in volume interaction and stereo rendering
  • Design visualization solutions for medical applications
  • Select and adapt the most appropriate methods for image visualization in medical applications
  • Create visualization prototypes using medical images that can be used in medical applications

...in order to:

  • understand the complete visualization pipeline in a medical context
  • be able to implement visualization solutions in medical applications
  • have a broad knowledge base that can ease understanding literature in the field.

Programme Structure

The program focuses on:

  • Applications in medical image visualization
  • The visualization pipeline
  • Surface reconstruction and rendering
  • Volume rendering
  • Volume interaction
  • Stereoscopic techniques

Key information

Duration

  • Full-time
    • 3 months

Start dates & application deadlines

Language

English
TOEFL® IBT
90
IELTS
6.5

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  • 4.9/5 student rating

Credits

6 ECTS

Delivered

On Campus

Campus Location

  • Stockholm, Sweden

What students do after studying

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Academic requirements

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

English requirements

TOEFL® IBT
90
IELTS
6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation
Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

  • Trusted by 300k learners
  • 98 accuracy using real exam data
  • 4.9/5 student rating

Other requirements

General requirements

  • Bachelor's degree in medical technology, technical physics, electrical engineering, computer science or equivalent. 
  • English 6/B.
  • Courses in programming in Python or MATLAB.

Student Insurance via Studyportals Partner

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.

Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at KTH Royal Institute of Technology and/or in Sweden, please visit Student Insurance Portal.

Tuition Fees

Living costs

Stockholm

Sweden
9668 - 17248 SEK / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Our partners

Medical Image Visualization
KTH Royal Institute of Technology
Medical Image Visualization
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KTH Royal Institute of Technology

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