Online Course
MRI Fundamentals
Korea Advanced Institute of Science and Technology via Coursera
Found in
Health Care Courses
- Provider Coursera
- Cost Free Online Course (Audit)
- Session Upcoming
- Language English
- Certificate Paid Certificate Available
- Effort 2-4 hours a week
- Duration 6 weeks long
- Learn more about MOOCs
Taken this course? Share your experience with other students. Write review
Overview
Class Central Tips
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.
Syllabus
1 Overview of MRI
-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 Mag Reson Phenomenon
-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.
3 Signal Processing Theory
-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.
4 MR IMAGE FORMATION
-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 IMAGE CONTRAST, FIELD OF VIEW, AND RESOLUTION
-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.
6 MRI DATA ACQUISITION STRATEGIES
-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.
-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 Mag Reson Phenomenon
-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.
3 Signal Processing Theory
-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.
4 MR IMAGE FORMATION
-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 IMAGE CONTRAST, FIELD OF VIEW, AND RESOLUTION
-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.
6 MRI DATA ACQUISITION STRATEGIES
-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.
Taught by
Sung-Hong Park
Help Center
Most commonly asked questions about Coursera
Reviews for Coursera's MRI Fundamentals Based on 2 reviews
- 5 star 50%
- 4 star 0%
- 3 star 0%
- 2 star 0%
- 1 star 50%
Did you take this course? Share your experience with other students.
Write a review- 1
Ubaid
completed this course, spending 4 hours a week on it and found the course difficulty to be very easy.
The best course in advance technology is for every one (100% easy) please don't miss the chance.offer to join KAIST you'll be happy in future for this decision.
Was this review helpful to you?
Yes
- 1
Never Stop Learning!
