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Course module: BMB502517
Capita Selecta in Medical Imaging
Course info
Course codeBMB502517
ECTS Credits5
Category / LevelM (Master)
Course typeCourse
Language of instructionEnglish
Offered byFaculty of Medicine; Graduate School of Life Sciences; Medical Imaging;
Contact personR.M. Allebrandi
Telephone+31 88 7569652
Contactperson for the course
R.M. Allebrandi
Other courses by this lecturer
Teaching period
MASTER  (20/08/2018 to 17/08/2019)
Teaching period in which the course begins
Time slot-: Not in use
Study mode
Remark12 Nov 2018 - 1 Feb 2019. Apply via the study guide
Course application processadministratie onderwijsinstituut
Enrolling through OSIRISNo
Enrolment open to students taking subsidiary coursesYes
Waiting listNo
Course placement processadministratie onderwijsinstituut
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
Period (from – till): 12 November 2018 - 21February 2019
Course coordinator: Dr. Alexander Leemans
Dr. Alexander Leemans, UMC Utrecht/Imaging Division, lecturer 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
Application deadline 2 weeks before start of the course via the study guide.

Optional for students in other GSLS Master’s programme:
Entry requirements
Required materials
Instructional formats
Computer practical



Final result
Test weight100
Minimum grade5.5

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