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
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- Stockholm, Sweden
Disciplines
Medical Imaging View 13 other Short Courses in Medical Imaging in SwedenWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
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- 98 accuracy using real exam data
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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
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Tuition Fees
Living costs
Stockholm
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.