This class aims to teach the basic principles of MRI.
Fundamentals of MRI including signal-to-noise ratio, resolution, and contrast as dictated by physics, pulse sequences, and instrumentation. Image reconstruction via 2D FFT methods. Fast imaging reconstruction via convolution-back projection and gridding methods and FFTs. Hardware for modern MRI scanners including main field, gradient fields, RF coils, and shim supplies. Software for MRI including imaging methods such as 2D FT, RARE, SSFP, spiral and echo planar imaging methods. Fundamental tradeoffs of tailoring hardware and pulse sequences to specific applications. The modern MRI toolbox will be introduced, including selecting a slice or volume, fast imaging methods to avoid image artifacts due to physiologic motion, and methods for functional imaging. The fundamentals of MRI image artifacts (motion, magnetic susceptibility variations, RF field variations) will also be covered. The last part of the class will present emerging research opportunities and concomitant engineering research challenges including high-field MRI, hyperpolarization methods, small animal MRI, cardiac MRI, stem-cell tracking, functional MRI, parallel imaging and compressed-sensing MRI.
GSI office hours: Friday 1pm, Parlab, Soda Hall (5th floor)
Class Time and Location
299 Cory Hall
Bernstein, King and Zhou, Handbook of MRI Pulse Sequences Elsevier/Wiley, 2004
You can get it from Amazon here. This is an excellent book, which anyone working in MRI will want to have.
Z.-P. Liang, P. Lauterbur, Principles of Magnetic Resonance Imaging: A Signal Processing Perspective, IEEE Press. A link to Amazon Here
Haacke, Brown, Thompson, and Venkatesan, Magnetic Resonance Imaging: Physical Principles and Sequence Design, John Wiley & Sons New York, NY 1999. ISBN: 0-471-35128-8.
Richard B. Buxton, An Introduction to Functional Magnetic Resonance Imaging: Principles and Techniques, ISBN: 0521581133. Publisher: Cambridge University Press.
A list of the topics that will be covered is given here, in the order that they will be covered. This may change based on class interest, and time.
Weekly assignments consisting of problem sets and potentially some matlab programming. (20%)
Two midterms, one in the middle (30%) and one at the end (30%) of the semester.
Final project (20%)
No late hw, makeup midterms etc. without prior concent from the instructor.
We will use a paperless submission system. Please submit your homework using the DROPBOX in BSPACE in PDF format. I strongly recommend using Latex for formatting, but you can use anything you wish. A Latex template can be downloded from here. The document should include your answers to the questions, matlab code and plots as required.
Please use the standard file name which is: Firstname_Lastname_hwxx_sol.pdf. for example: Miki_Lustig_hw01_sol.pdf.