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Course module: BMB502517
BMB502517
Capita Selecta in Medical Imaging
Course info
Course codeBMB502517
EC5
Course goals
After completing the course the student:
  1. will be familiar with the concepts of spectral CT and its latest developments and clinical applications
  2. has a basic understanding of pharmacokinetic modelling and dynamic contrast enhanced analysis
  3. understands the basics of analytical and iterative reconstruction techniques for emission and transmission tomography
  4. has a general understanding of the use of Monte Carlo techniques in nuclear medicine as applied to imaging and dosimetry
  5. can identify common MRI artifacts present in diffusion MRI data
  6. will know the basic processing steps that are required for diffusion MRI
  7. is able to discriminate between different diffusion MRI model strategies
  8. will have a basic hands-on knowledge of analysing and visualizing diffusion MRI data
  9. will understand the limitations and pitfalls in the context of neuroscientific and biomedical applications
Content
Period (from – till): 12 November 2018 - 21February 2019
 
Course coordinator: Dr. Alexander Leemans
 
Faculty
Dr. Alexander Leemans, UMC Utrecht/Imaging Division, lecturer
Dr.ir. Hugo de Jong, UMC Utrecht/Imaging Division, lecturer
Dr. A.M.R. Schilham, UMC Utrecht/Imaging Division, lecturer
Dr. R. van Rooij, UMC Utrecht/Imaging Division, lecturer
Dr. ir. B.J. van Nierop, UMC Utrecht/Imaging Division, lecturer
Renée Allebrandi, MA (course registration)
 
Course aims and content:
This course consists of two independent topics. During the first half of the course researchers from the Hybrid Imaging group will introduce the following topics:
  • Spectral/dual-energy CT
  • Pharmacokinetic modelling and dynamic contrast-enhanced analysis
  • Image reconstruction of CT and SPECT/PET
  • Monte Carlo simulations and dosimetry in nuclear medicine
 
During practical sessions students will improve their understanding of the above topics, e.g. by carrying out Monte Carlo simulations, programming of a simple image reconstructor for SPECT and working on pharmacokinetic data.
 
The second half of 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.
 
Literature/study material used
hand-outs provided by lecturers
suggested reading material
 
Registration
Application deadline 2 weeks before start of the course via the study guide.
 
Mandatory 
No.

Optional for students in other GSLS Master’s programme:
Yes.
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Kies de Nederlandse taal