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.
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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Great Course that covers quite a lot on the ins-and-outs of MRI technology, though it doesn't cover fMRI. Despite that fact, it's a definite course to try out if you were curious of how MRIs work.
Excellent course. I used to work in MRI in late 80s so I wanted to review the material and update my knowledge. The course served my purpose. Thank you Prof. Sung-Hong Park!
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
Excellent Course, I found it very comprehensive and useful. Sometimes difficult expecially the math parts considering my background as a Neuroradiologist. Thank You.