2024-2025 / GBIO0035-1

Advanced Magnetic Resonance Imaging

Duration

Number of credits

 Master MSc. in Biomedical Engineering, professional focus5 crédits 

Lecturer

Laurent Lamalle

Language(s) of instruction

English language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Theoretical part:

  • Introduction
  • NMR signal
  • Bloch equations
  • Response to modulated B1+(t) RF pulses
  • - Spectral response
  • - Small tip angle approximation
  • - Large tip angles
  • - Effect of slice-selection gradient
  • - Experimental calibration
  • - MultiBand / Simultaneous Multi-Slice excitation
  • Multi-dimensional encoding
  • - Spatial encoding
  • - Spectral encoding
  • - Spatio-spectral encoding
  • Pulse sequences
  • Sources of contrast
  • Applications
  • Artefacts
  • Instrumentation
  • Safety aspects
Practical sessions:

  • MRI system architecture and components, basic imaging session.
  • Calibrations: B0 inhomogeneity, B1+ and B1- inhomogeneities, flip angle. Simple gradient echo and spin echo sequences.
  • Standard structural imaging session, brain segmentation.
  • Functional MR imaging session, fMRI time-series analysis.
  • Diffusion-Weighted Imaging session and data processing.
  • Quantitative Multi-Parameter-Mapping session and data processing. Quantitative Susceptibility Mapping.
  • Spectroscopy session and data analysis.

Learning outcomes of the learning unit

At the end the student successfully attending this course should have acquired the knowledge enabling him or her to master numerous complex aspects necessary to build a deep understanding of and to conceive Magnetic Resonance Imaging protocols, not only those used in clinical routine but also those developed in research.

The course program aims to cover the competences expected in the MRI scanner manufacturing industry (R&D departments or advanced customer support), as well as in academic research fields using or developing advanced MRI techniques.

Prerequisite knowledge and skills

Background in physics and/or engineering, and thus some fluency with mathematical equations, signal sampling and processing, Fourier analysis...

Planned learning activities and teaching methods

Lectures, practical sessions under supervision, used as context to varied practical problems and exercices.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course


Further information:

  • In person lectures, room "Fluorine", B30 building (Sart Tilman).
  • On Friday morning (except particular instructions, to be forwarded by e-mail).
  • Practical sessions on research MRI scanners at B30 (3 Tesla, 7 Tesla).
  • Possibly: visit of hospital MRI centre.

Course materials and recommended or required readings

Platform(s) used for course materials:
- MyULiège


Further information:

A teachning syllabus is in preparation. Associated lecture notes will be progressively available.

Numerous literature references, books and web sites richly document the subject.
Notably:

Please keep a critical eye on the rich and easily available material, which too often may present inaccuracies in wording as well as in graphical illustrations. This course should help you to detect them! Do not hesitate to question the teacher in case of doubt.

Exam(s) in session

Any session

- In-person

written exam AND oral exam


Further information:

The student's understanding of the presented matter will be evaluated on basis of:

  • A written examination.
  • A written report summarizing a topic of interest agreed with the teacher.
  • This report will later be presented orally, followed by related questions and oral questions covering the course matter.

Work placement(s)

Possibility to develop a Master thesis subject.

Organisational remarks and main changes to the course

This new course is introduced this academic year.

Its content is still susceptible to evolve, notably to better reach the students' topics of choice.

Contacts

Laurent Lamalle

Phone: 0 4 366 2 366

e-Mail: Laurent.Lamalle at uliege.be

Association of one or more MOOCs