MRI Fundamentals

Korea Advanced Institute of Science and Technology(KAIST)

Welcome to the MRI Fundamentals course, where you will delve into the intricacies of magnetic resonance imaging (MRI). This comprehensive program offers a deep understanding of MRI physics, image formation, and data acquisition strategies.

Throughout the course, you will explore the fundamental concepts of MRI, including the magnetic resonance phenomenon, signal processing theory, MR image formation, and image contrast. By engaging with diverse topics such as gradient echo and spin echo imaging, field of view, and resolution, you will develop a nuanced understanding of MRI techniques.

  • Gain expertise in basic MRI physics and principles
  • Understand the generation of magnetic resonance signals
  • Explore various data acquisition strategies in MRI
  • Learn about soft tissue contrast and imaging parameters

Join us on this educational journey and expand your knowledge of MRI, equipping yourself with valuable insights that are fundamental to the field of medical imaging.

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MRI Fundamentals
Course Modules

This comprehensive course comprises six modules that cover a wide range of topics, including MRI overview, magnetic resonance phenomenon, signal processing theory, MR image formation, image contrast, and MRI data acquisition strategies.

1 Overview of MRI

Learners will receive an overview of MRI, exploring its role as one of the biomedical imaging modalities. Additionally, they will delve into the components essential for MRI, including magnets, RF coils, and gradient coils.

2 Mag Reson Phenomenon

Module 2 focuses on the magnetic resonance phenomenon, elucidating the signal source of MRI, the behavior of protons in a strong magnetic field, and the application of RF to cause magnetic resonance. Learners will also gain insights into relaxation and summary of the second week.

3 Signal Processing Theory

Signal processing theory is the core of Module 3, encompassing topics such as Fourier transform, properties of Fourier transform, basic signal functions, and sampling, including the Nyquist Sampling Theorem.


Module 4 delves into MR image formation, detailing how to sequence gradient pulses to obtain an image, slice selection, K-space, frequency encoding, and phase encoding.


Learners will explore image contrast, field of view, and resolution in Module 5, covering gradient echo and spin echo imaging, contrast mechanisms, field of view, and resolution.


The final module, Module 6, focuses on MRI data acquisition strategies, encompassing 2D and 3D imaging, gradient echo imaging, spin echo imaging, fast spin echo imaging, echo planar imaging, and non-Cartesian imaging.

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