MRI Fundamentals

Course
en
English
12 h
This content is rated 4.5 out of 5
Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 6 Sequences
  • Intermediate Level

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Course details

Syllabus

Week 1: Overviewof MRI. History of MRI, Comparison with other biomedical imaging modalities,MRI magnet, RF coils, gradient coils.

Week 2: Magnetic resonance phenomenon. microscopic MRI, Larmor equation, RFpulse, relaxation

Week 3: Review of basic signal processing principle. Fourier transform.

Week 4: Formation of an MR image. Concept of FID, spin echo, k-space, slice selection, frequencyencoding, phase encoding, etc.

Week 5: MR imaging parameters and image contrast. Concept of imagingparameters such as TR, TE, FOV, matrix, etc, and image contrast such asT1-weighting, T2-weighting, T2*-weighting.

Week 6: MRI data acquisition strategies. Spin echo, gradient echo, fast spinecho, echo planar imaging, 3D imaging, etc.

Prerequisite

None.

Instructors

Sunghong Park
Associate Professor
Department of Bio and Brain Engineering

Editor

The Korea Advanced Institute of Science and Technology (KAIST) was established in 1971 by the Korean government as the nation’s first research-intensive graduate school for science, engineering and technology. It has now grown into one of the world’s best universities, delivering top notch education and research programs for undergraduate and graduate students. KAIST encourages interdisciplinary and convergent research across a wide spectrum of disciplines, as well as strong collaborations with industry and global institutions.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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