What Is Programming? And How To Get Started
January 28, 2025
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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.
Welcome! This first week you will be introduced to the course and key principles of mri. You will learn what is mri and the major components of mri.
2 videos1 assignment
This week, you will explore what is magnetic resonance phenomeon. We will also guide you to what is relaxation and how RF apply to cause magnetic resonance.
4 videos1 assignment
In this module, you will learn signal processing theory. You will be exposed to the most important concepts in mri which contain fourier transform and nyquist sampling therom.
5 videos1 assignment
In lecture 4, we will expose you to how to sequence gradient pulses to get an mr image. You will also learn about sequence gradient pulses which include slice selection, frequency encoding and phase encoding.
5 videos1 assignment
In this week, learners will get to know how soft tissue contrast can change with imaging parameters. We will also guide you what is field of view and how to measure resolution.
5 videos1 assignment
In this module, you will learn about mri data acquisition strategies. Also, you will be exposed to MR imaging sequences of spin echo, gradient echo, fast spin echo, echo planar imaging, and inversion recovery.
5 videos1 assignment
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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.
Yale University
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MathWorks
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Johns Hopkins University
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Johns Hopkins University
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432 reviews
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Reviewed on Jun 16, 2020
Very in depth course. It's easier to read the course than try to understand the video/audio. At least it was for me.
Reviewed on Jun 12, 2020
Wonderful course. I enjoyed learning. Explanation and presentations were also good. Thank you professor.
Reviewed on Oct 16, 2020
provides good knowledge of MRI function. this is not a fundamental course this is a bit advanced. good knowledge of calculus is needed
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