Capita Selecta Medical Imaging (UU)

Course description:

In this course a selection of more specialized topics in the field of medical imaging research will be covered by lecturers who are experts in the respective fields.

During the first half of the course researchers from the Hybrid Imaging group will introduce the following topics:

  • Spectral CT
  • Pharmacokinetic modelling and DEC analysis
  • Image reconstruction of CT and SPECT/PET
  • Monte Carlo simulations in Nuclear Medicine

During practical sessions students will improve their understanding of the above topics by carrying out Monte Carlo simulations, programming of a simple 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.

Learning goals: upon completion of the course the student

  • will be familiar with the concepts of spectral CT and its latest developments and clinical applications
  • has a basic understanding of pharmacokinetic modelling and dynamic contrast of enhanced analysis
  • understands the basics of analytical and iterative reconstruction techniques for emission and transmission tomography
  • has a general understanding of the use of Monte Carlo techniques in nuclear medicine as applied to imaging and dosimetry
  • 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 material: hand-outs provided by the lecturers.

Examinitation: written exam at end of course

Prerequisite knowledge: none.

Date: Mondays between 8.45 – 15 hours, 12 November 2018 – 1 February 2019

Registration: Apply at least 2 weeks before the start of the course via the study guide.