Lecture 3-1 Fourier Transform and MR images

video-placeholder
Loading...
View Syllabus

Reviews

4.6 (236 ratings)
  • 5 stars
    73.30%
  • 4 stars
    19.06%
  • 3 stars
    5.50%
  • 2 stars
    0.84%
  • 1 star
    1.27%
UL
Sep 10, 2020

This course gives detail knowledge on MRI machine, image formation and data collection process in simplified way. Thank you very much to coursera team and KAIST university

LC
Dec 26, 2020

Excellent Course, I found it very comprehensive and useful. Sometimes difficult expecially the math parts considering my background as a Neuroradiologist. Thank You.

From the lesson
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.

Taught By

  • Placeholder

    Sung-Hong Park

    Associate Professor

Explore our Catalog

Join for free and get personalized recommendations, updates and offers.