RAT3112

Advanced MR Physics

Spring and Autumn

Trondheim

Norwegian

Overview

39 candidates

Average grade

C

2.97

same

Pass rate

100%

same

Grade distribution
Average over time
Pass rate over time

About this course

Content

The course deals with theoretical principles for advanced MRI techniques with relevance in clinics or research. Topics for the course are advanced methods for MR imaging; K-space filling, including non-cartesian methods, methods for suppression of fat signals, artifacts and methods to reduce them, techniques for fast acquisitions (parallell imaging, multiband and more), perfusion (DCE-MRI, DSC-MRI and ASL), clinical 7T MRI, fMRI, DTI w/ fiber tracking, MRS, and multimodal MRI including PET/MRI Course content will adapt to changes as a result of technological development over time.

Learning outcomes

A candidate with a completed course should have the following learning outcomes:

Knowledge

The candidate:

  • understands MRI physics explained by mathematical models
  • can explain advanced MRI techniques that are commonly available at conventional MRI scanners
  • can explain the mechanisms of advanced MR techniques and how they present physiological processes
  • can explain how advanced MRI techniques can detect specific pathology or pathophysiology

Skills

The candidate:

  • can use mathematical models to explain MRI theory
  • understand how advanced MRI techniques operate at a clinical MRI scanner
  • can evaluate scan parameters for acquisition in MRI using advanced imaging techniques

General competence

The candidate:

  • can communicate independent work and master the professional terms
  • can evaluate if new MR-methods and techniques are applicable at specific MRI scanners
  • has an overview of the most important and common advanced techniques for imaging based on physiological processes
  • displays an overview of research in the field

Teaching methods

Lectures on campus and group work with mandatory submissions. Learning resources are made available via the web (E-learning platform). This can be articles, links, short films (animations, lectures, etc.), self-tests, answers to assignments and discussion forums with students and teachers. Students must submit six mandatory work requirements.