FYS4740 – MR-theory and Medical Diagnostics
Course description
Course content
The course introduces the basic principles of magnetic resonance imaging (MRI) and fundamental concepts from magnetic resonance spectroscopy (MRS). In addition to providing a comprehensive introduction to the theory of MRI, the course offers hands-on laboratory- and computer simulation exercises with the aim of giving the student a good understanding of the central concepts of MRI with a focus on applications in medical diagnostics.
Learning outcome
After finishing the course you should be able to:
- understand the basic principles of nuclear magnetic resonance.
- understand how radio frequency pulses can be used to influence nuclear magnetization.
- understand how to apply spatial coding to the MR-signal.
- formulate the Bloch equation and solve this under different conditions/assumptions.
- understand the basic principles of MR spectroscopy
- understand the most important concepts underlying MR imaging, including acquisition and reconstruction.
- have knowledge of the main contrast mechanisms in MRI in relation to proton relaxation and physiological properties of tissues
- understand the relationship between MR sequence parameters and image contrast.
- apply this theory to examples through practical laboratory exercises and computer simulation exercises.
Admission to the course
Students admitted at UiO must?apply for courses?in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.
Nordic citizens and applicants residing in the Nordic countries may?apply to take this course as a single course student.
If you are not already enrolled as a student at UiO, please see our information about?admission requirements and procedures for international applicants.
Recommended previous knowledge
or equivalent knowledge, as well as knowledge of Python, Matlab or equivalent.
Overlapping courses
- 10 credits overlap with FYS9740 – MR-theory and Medical Diagnostics.
- 10 credits overlap with FYS-KJM4740 – MR-theory and medical diagnostics (continued).
- 10 credits overlap with FYS-KJM9740 – MR-theory and medical diagnostics (continued).
Teaching
The course extends over approx. 7 weeks and includes 4 hours per week of lectures, 2 hours per week of practical work, in addition to some?laboratory work at Oslo University Hospital.
You have to complete a project assignment and a laboratory report, both of which must be approved before you can sit the final exam.
As?the?teaching involves laboratory and/or fieldwork, you should consider taking out a separate travel and personal risk insurance.?Read about your insurance coverage as a student.
Examination
Final oral exam which counts 100 % towards the final?grade.
This course has mandatory exercises that must be approved before you can sit the final?exam.
It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses: FYS9740 – MR-theory and Medical Diagnostics, FYS-KJM4740 – MR-theory and medical diagnostics (continued), FYS-KJM9740 – MR-theory and medical diagnostics (continued)
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F?is a fail. Read more about?the grading system.
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a?postponed exam?at the beginning of the next semester.
New examinations?are offered at the beginning of the next semester for students who do not successfully complete the exam during the previous semester.
We do not offer a re-scheduled exam for students who withdraw during the exam.
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.