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Overview
What you will study
The use of computer tools for analyzing 3D medical images has improved the diagnosis and treatment of different diseases. The 3D Image Reconstruction and Analysis in Medicine course offered by KTH Royal Institute of Technology covers the concepts, theories and most used methods for this aim, starting from obtaining readable 3D images from raw acquired data from the scanners (image reconstruction), improving their quality (image restoration and enhancement), aligning images from the same or different modality (image registration), detecting relevant regions from images (image segmentation) and extracting meaningful information from the images (image analysis). The course is focused to solve medically relevant problems.
After completing of this course, the participant will be able for each of the aforementioned problems to:- Understand the main issues and challenges
- Describe the main approaches and methods and their main differences
- Summarize pros and cons and scope of different methods
- Identify and understand the mathematical theory of the most used methods
- Develop and systematically evaluate different methods for solving simplified problems
- Use and adapt advanced tools for solving complex problems
- Select and adapt the most appropriate methods to solve problems in image reconstruction and analysis
- Analyze the effect of different parameters of the methods in particular cases
- Explain orally and in writing the proposed strategy for solving specific problems
in order to:
- understand the complete pipeline for using computational tools for image analysis in a medical context
- be able to implement computational solutions in image reconstruction and analysis to medically relevant problems
- have a broad knowledge base that can ease understanding literature in the field
Programme Structure
The program focuses on:
- Image reconstruction: different methods for tomographic reconstruction (obtaining 3D images from 2D projections) and from frequency domain acquisitions (magnetic resonance).
- Image restoration and enhancement: image filtering and enhancement in the spatial, frequency and spatial-frequency domain.
- Image registration: linear and non-linear registration and registration with prior information.
- Image segmentation: voxel-, graph-, contour- and model-based image segmentation.
- Image analysis: feature extraction, image classification, image regression, machine learning and deep learning for image analysis.
Key information
Duration
- Full-time
- 5 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
TOEFL® IBT 90
Credits
9 ECTS
Delivered
On Campus
Disciplines
Medical Imaging View 12 other Short Courses in Medical Imaging in SwedenAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
TOEFL® IBT 90
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting 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.
Other requirements
General requirements
- Bachelor’s degree in Biomedical Engineering, Engineering Physics, Electrical Engineering, Computer Science or equivalent.
- English B/6.
Tuition Fee
To always see correct tuition fees
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EU/EEA
FreeTuition FeeBased on the tuition of 0 SEK for the full programme during 5 months.
If you are an EU, EEA or Swiss citizen or hold a residence permit in Sweden for something other than studies you generally do not have to pay tuition fees.
Living costs for Stockholm
9668 - 17248 SEK /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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