Instructor
Brad Sutton
Professor
Expected Course Outcomes
By the end of class, students will be able to:
- Describe the basic physics behind the MRI signal
- Simulate spin echo gradient echo MRI experiments using a Bloch simulator
- Understand the relationship between pulse sequence components of RF pulses and gradients to image parameters
- Understand the SNR/spatial resolution/ acquisition time trade-offs of traditional imaging
- Perform basic image reconstruction steps, including from Cartesian and non-Cartesian acquisitions
- Understand the basic physics and processing steps for diffusion tensor imaging and functional MRI
Required Materials
- Noll primer on imaging: http://web.eecs.umich.edu/~dnoll/primer2.pdf
- E-mri applets for learning basics of MRI (registration is free): https://www.imaios.com/en/e-Courses/e-MRI
- Liang. Principles of Magnetic Resonance Imaging: A signal processing perspective. Free access on campus or through VPN: http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5264284
- LECTURE 1: 2/27: Lecture 1 Slides
- LECTURE 2: 3/1: 2018-03-01.pdf
- LECTURE 3: 3/6: 2018-03-06.pdf
- LECTURE 4: 3/8: 2018-03-08.pdf
- LECTURE 5: 3/13: 2018-03-13.pdf noll_gridding_ismrm.pdf
- LECTURE 6: 3/15: How2AnalyzeDataSPM12.pdf Link to data: LINKtoDATA.pdf
Homework
- Homework 1: Due 3/6: Homework 1 handout MATLAB files
- Homework 2: Due 3/13: Homework 2 handout
- Homework 3: Due 3/15: Homework 3 handout MATLAB files
Schedule
- Will teach class on 2/27/18, 3/1/18, 3/6/18, 3/8/18, 3/13/18 and 3/15/18