Magnetic Resonance Analytic, Biochemical, and Imaging Techniques
Course facts
- Payment: Free, no certificate
- Credits: Non Credit
- Learning style: Self-paced, start anytime
- Resources: Exam Solutions; Exams; Problem Set Solutions; Problem Sets; Projects with Examples
MIT OpenCourseWare details
- As taught in: Spring 2006
- Department: Health Sciences and Technology, Nuclear Science and Engineering
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NMR theory and MR imaging: pulse sequences, image contrast, reconstruction, flow, diffusion and fMRI, with solved problem sets and a solved midterm.
Nuclear magnetic resonance can tell biologists and physicians a great deal, and this class explains how. It begins with basic NMR theory, including spectroscopic and relaxation phenomena, and summarizes biochemical data the technique produces. Most of the term then concentrates on imaging, with exposure to laboratory equipment and several guest lecturers on specialist topics.
What You Will Achieve
- Explain NMR through the classical model and Bloch equations
- Relate pulse sequences to T1 and T2 image contrast
- Reconstruct images using k-space and Fourier ideas
- Describe flow, diffusion, parallel and functional imaging methods
Program Overview
NMR Fundamentals
The physics behind the signal.
- Relaxation mechanisms and measurement
- Spin echoes and the Ernst angle
- Chemical shifts and J-coupling
Forming an Image
How signal becomes a picture.
- Image encoding and resolution
- MR image reconstruction
- Errors in imaging
- MRI hardware overview
Advanced Techniques
Methods beyond basic imaging.
- Chemical shift and flow imaging
- Diffusion-weighted techniques
- Parallel imaging with SMASH and SENSE
- Introduction to fMRI and experiment design
Course Completion
Job Outlook
These skills are relevant to medical imaging research, biomedical engineering and MRI technology development.
Good for: Graduate students and research scientists who want to understand how MRI and NMR data are produced and what limits them.
Keep in mind: No lecture notes or videos are published, only problem sets, a midterm quiz and sample projects from 2006, and the notes used in class were handed out. Lab exposure cannot be reproduced at home.
Bottom line: A solid problem-based outline of MR physics and imaging that needs a companion text.
Frequently Asked Questions
How was the class graded?
Weekly problem sets counted for 60 percent, the midterm quiz for 30 percent and the class presentation for 10 percent.
What sample projects are included?
Work by two students, Ryan Lanning and Jin Zhou, each with an executive summary and presentation, alongside the final project description.
Who gives the guest lectures?
Van Wedeen on diffusion-weighted techniques, Alan Jasanoff on molecular imaging, Elfar Adalsteinsson on advanced reconstruction and Robert Savoy on fMRI.
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