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Magnetic Resonance Imaging Basics.
Atul Singh Minhas1, Ruth Oliver2
1School of Engineering, Macquarie University, Wallumattagal Campus, Macquarie Park, NSW, Australia. atul.minhas@mq.edu.au.
Advances in Experimental Medicine and Biology
|October 28, 2022
Summary
This chapter explains magnetic resonance imaging (MRI) signal generation and image formation, covering nuclear magnetic resonance (NMR) and mathematical MRI signal expressions. It details image reconstruction, signal-to-noise ratio, and phase image formation for electromagnetic properties mapping research.
Area of Science:
- Physics
- Medical Imaging
Background:
- Explains the fundamental principles of nuclear magnetic resonance (NMR) phenomenon.
- Details the mathematical expressions for magnetic resonance imaging (MRI) signals in both spatial and k-space domains.
Approach:
- Describes common MRI image reconstruction techniques.
- Covers signal-to-noise ratio (SNR) calculation methods and standard MR image formats.
- Focuses on the specific formation of phase images in MRI.
Key Points:
- Understanding MRI signal generation and image formation is crucial for advanced applications.
- Mathematical modeling of MRI signals provides a basis for image reconstruction.
- Phase image formation is a key area for electromagnetic properties mapping using MRI.
Conclusions:
- This chapter provides a foundational understanding of MRI physics and mathematics.
- It is particularly useful for researchers in electromagnetic properties mapping.
- Offers a concise overview for those seeking a quick grasp of MRI principles.
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