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Spring, 2017
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.
Instructor
Office Hours
Th 3:30-4:30p
419 Hearst
GSI
Jon Tamir
jtamir@eecs.berkeley.edu
GSI office hours: T 4-5p Cory 400, and W 3-4p Cory 531
Class Time and Location
2:00–3:30 T/TH
293 Cory Hall
Lab Sessions:
We are going to use Piazza for discussion and announcements. All other material (lectures, homeworks, etc.) will be posted to bcourses.
D. Nishimura Principles of Magnetic Resonance Imaging Lulu.com 2010
You can get in paperback(35$) and hardcover(45$) from http://lulu.com.
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.
Grading (subject to adjustment):
Weekly assignments consisting of problem sets and potentially some matlab programming. (15%)
Two wet labs (15%)
One midterm (35%)
Final project (35%)
No late hw, makeup midterms etc. without prior concent from the instructor.
Midterm dates:
Midterm 1: March 21st, in class.
Homework Instruction
We will use a paperless submission system. Please submit your homework using the bcourses 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.
There will be self grading – self grading is due 3 days after posting of the solutions.
Labs:
Dry Matlab asignments, almost weekly.
Wet MRI experiments with an high field 7T NMR system
Wet MRI experiments at the Brain Imaging Center's 3T scanner
Project:
Research Topics for the project can be downloaded from Here
See bcourses for lecture notes, assignments, and labs. A recording of the first lecture from some years ago is available here:
Introduction