Fundamental Concepts of Magnetic Resonance Imaging
Christopher Collins, PhD.
The course covers the fundamental physical principles governing the data acquisition and image reconstruction of magnetic resonance imaging (MRI) and applications in medicine and biology. A background in physical sciences is desirable but not essential.
- Basic physical principles for signal generation and detection: magnetized spin systems; RF excitations; MR signal detection and characteristics.
- Imaging principles: selective excitation; phase-encoding; frequency-encoding; k-space sampling.
- MRI hardware.
- Image reconstruction techniques: computational techniques for image reconstruction from sampled Fourier transform data.
- Image contrast, resolution, signal-to-noise, and artifacts: MR contrast mechanisms; resolution limitations; noise characteristics; motion imaging and motion artifacts.
- Fast imaging: fast spin-echo imaging; fast gradient-echo imaging; echo-planar imaging; and burst imaging.
- Functional imaging: perfusion; diffusion; BOLD.
- Spectroscopy.
- Safety.
- MR Angiography.
- Clinical applications of MRI.
Syllabus
E. Mark Haacke et al. Magnetic Resonance Imaging. Wiley-Liss 1999.
D. G. Nishimura. Principles of Magnetic Resonance Imaging. Stanford 1996.
Students will be graded on homework and class participation (30%), a midterm closed book exam (30%), a project (10%), and a final exam (30%).
Sponsors
Philanthropic Support
We gratefully acknowledge generous support for radiology research at NYU Langone Health from:
• The Big George Foundation
• Raymond and Beverly Sackler
• Bernard and Irene Schwartz
