link Source: www.coursera.org
list 6 sequences
assignment Level : Intermediate
chat_bubble_outline Language : English
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Key Information

credit_card Free access
verified_user Fee-based Certificate
timer 12 hours in total

About the content

Welcome! In this course learners will develop expertise in basic magnetic resonance imaging (MRI) physics and principles and gain knowledge of many different data acquisition strategies in MRI. In particular, learners will get to know what is magnetic resonance phenomenon, how magnetic resonance signals are generated, how an image can be formulated using MRI, how soft tissue contrast can change with imaging parameters. Also introduced will be MR imaging sequences of spin echo, gradient echo, fast spin echo, echo planar imaging, inversion recovery, etc.

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Syllabus

Week 1: Overview of 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, RF pulse, 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, frequency encoding, phase encoding, etc.

Week 5: MR imaging parameters and image contrast. Concept of imaging parameters such as TR, TE, FOV, matrix, etc, and image contrast such as T1-weighting, T2-weighting, T2*-weighting.

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

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Instructors

Sunghong Park
Associate Professor
Department of Bio and Brain Engineering

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Content Designer

Korea Advanced Institute of Science and Technology
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.
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Platform

Coursera

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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