CMRR
Center for Magnetic Resonance Research, Department of Radiology
CMRR Classes
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Formal coursework
The Medical Physics graduate program under the UMN Department of Radiation Oncology Department offers several courses covering the physics of Magnetic Resonance. Please refer to the Medical Physics Curriculum page for all offerings. You might also be interested in attending one of our weekly seminars.
Spring 2025 Course - MPhy8147 Advanced Physics of MRI
Advanced Physics of Magnetic Resonance Imaging is a graduate level course that teaches the principles of nuclear magnetic resonance imaging (MRI) as used in biomedical research and clinical radiology. In the first part of the course, students will learn about nuclear spin, radiofrequency pulses, spatial encoding, digital signal acquisition and processing, image reconstruction, image contrast, and pulse sequences. The second part of the course will cover a series of 3-5 advanced topics based on current trends in the field, such as functional neuroimaging, high-field hardware engineering, MR spectroscopy, and image reconstruction. Each topic will be taught by an expert in the field and will provide students with guided reading, homework assignments and software tools to provide a foundation for the student’s own studies/research. MATLAB and/or python will be used throughout the course.
For Spring 2025 the four advanced topics are A) Advanced image reconstruction, B) Relaxometry theory and methods, C) MR spectroscopy, and D) RF Coil engineering. These topics will vary each time the course is taught.
When: |
Tuesday & Thursday 10:00 - 11:15am
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Location: |
Seminar room 2-102, CMRR |
Credits: |
3 Cr (two 75-min sessions per week) |
Grading: |
Homework problems, two exams, and one presentation |
Instructors: |
Primary: Patrick Bolan (bolan@umn.edu)
Advanced Reconstruction: Steen Moeller Relaxometry: Shalom Michaeli MR Spectroscopy: Dinesh Deelchand RF Coil engineering: Alireza Sadeghi-Tarakameh |
Prerequisites: |
Undergraduate level calculus and calculus-based physics; familiarity with linear algebra; basic familiarity with programming in Matlab or Python |
Registration: |
Permission numbers are required to enroll. Please email the instructor (bolan@umn.edu) for questions or to request a permission number. |