Diffusion MRI

Coursecode: BMB4709022
Coursecoordinator: dr. Alexander Leemans
Credits: 2.5 EC
Lecturers: dr. Alexander Leemans

Course description

The 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.

Learning goals

  • can identify common MRI artifacts present in diffusion MRI data
  • will know the basic processing steps required for diffusion MRI
  • is able to discriminate between different diffusion MRI model strategies
  • will have 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

Literature / study materials

  • hand-outs provided by lecturers
  • suggested reading material

Examinitation: written exam at end of course
Prerequisite knowledge: none.
Date: Mondays between 9 – 16 hours, 12 December 2022 – 30 January 2023
Registration: Please check the registration procedure for the enrollment deadlines. Other UU and TU/e partnership students can register for this course via Osiris Student.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.

Schedule

For directions to the lecture rooms go to Route.