After completing the course the student:
• can identify common MRI artifacts present in diffusion MRI data
• will know the basic processing steps that are required for diffusion MRI
• is able to discriminate between different diffusion MRI model strategies
• will have a basic hands-on knowledge of analysing and visualizing diffusion MRI data
• will understand the limitations and pitfalls in the context of neuroscientific and biomedical applications
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Period (from – till): 13 November 2023 - 2 February 2024 (BMS_P2_A)
This course covers theory and practice of processing, analysing and visualising diffusion MRI data. Key concepts and practical considerations of data processing and analysis are explained. Topics include:
• Quality assessment
• Artifact correction
• Diffusion approaches
• Fiber tractography
• Automated analyses
• Visualisation methods
During computer practical sessions students will learn how to work with real diffusion MRI data.
Literature/study material used:
handouts
Registration:
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Students' site.
Students from outside the UU or TU/E partnership can register for this course by sending an email to mix@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
Mandatory for students in Master’s programme:
no
Optional for students in other GSLS Master’s programme:
yes
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