Magnetic Resonance Imaging: Fundamentals (MRES7100)
Information valid for Semester 2, 2024
Course level
Postgraduate Coursework
Faculty
School
Mathematics & Physics School
Units
2
Duration
One Semester
Attendance mode
External
Class hours
Lecture 2 Hours/ Week
2L
Incompatible
MRES7001
Restricted
Enrolment restricted to Master of Magnetic Resonance program suite, GC MRPET or Master of Molecular Imaging students.
Assessment methods
Online tutorial and discussion; Assignment
Course enquiries
Doctor Nyoman Kurniawan (Semester 2, Regular, St Lucia, In person, External)
Dr Nyoman Kurniawan (nyoman.kurniawan@cai.uq.edu.au)
Study Abroad
This course is pre-approved for Study Abroad and Exchange students.
Current course offerings
Course offerings | Location | Mode | Course Profile |
Semester 2, 2024 (22/07/2024 - 18/11/2024) | External | External | Course Profile |
Semester 2, 2024 (22/07/2024 - 18/11/2024) | St Lucia | In Person | Course Profile |
Semester 1, 2025 (24/02/2025 - 21/06/2025) | St Lucia | In Person | Profile unavailable |
Semester 1, 2025 (24/02/2025 - 21/06/2025) | External | External | Profile unavailable |
Semester 2, 2025 (28/07/2025 - 22/11/2025) | St Lucia | In Person | Profile unavailable |
Semester 2, 2025 (28/07/2025 - 22/11/2025) | External | External | Profile unavailable |
Please Note: Course profiles marked as not available may still be in development.
Course description
This unit of study explores the principles and methods that underpin Magnetic Resonance Imaging (MRI), a key molecular imaging technique. Topics covered include Physical principles of nuclear magnetic resonance (MR), underlying mechanisms of relaxation in MR and descriptions of the way in which pulse sequences are able to exploit relaxation to produce contrast. On completion of this unit, students will have a thorough understanding of the MRI methodology, and the molecular basis for endogenous contrast. The use of contrast agents to modify image contrast and target particular molecular features will be introduced. The factors affecting the accuracy and potential sources of artefact in MRI images will be explored.