Introducing MRI: Frequency Encoding (22 of 56)

www.einstein.yu... - The twenty-second chapter of Dr. Michael Lipton's MRI course covers Frequency Encoding. Dr. Lipton is associate professor radiology at Albert Einstein College of Medicine and associate director of its Gruss Magnetic Resonance Research Center.

[@yangtsekiang8745]

I am a PhD student developing NMR system for geomaterials. This lecture is really enlighting! Wow Thank you very much!

[@jennifers7048]

This video was my aha moment, thanks you SO much for sharing !!

[@zillanialam4863]

It's very helpful. Thank you for such simplified lecture series. U make every thing logical and understanding. Thanks a lot

You make this stuff so easy to understand it's almost scary, a 10 year old would understand (your face at 23:40 says it all, you built up such a coherent explanation of frequency encoding that there's nothing more to add concerning that)

[@drtomthomasmathew]

Thanks for simplifying concepts,

[@CMyselfAndI]

Incredibly helpful, great professor. Thank you!

[@adad8751]

Thanks for sharing these useful videos

[@tinasaeidi4656]

great lectures and great teacher

[@avivpeleg2587]

dft means Discrete Fourier transform, not digitl Fourier transform.

[@ichhabnenkanal5431]

+aviv peleg yes, but "digital" implies discretion, so ...

[@EinsteinCollegeofMed]

Dr. Lipton wanted us to add the following confirmation to your digital Fournier transform response: "You are correct, thanks."

[@lalithsharan4734]

@Ich hab nen Kanal? , digital corresponds to discretisation of output; discrete itself corresponds to non-continuous samples say in the time domain or input....DFT is Discrete Fourier Transform

[@gabrielebarbaraci3161]

is the same!!!!!

[@mandolinic]

I've often wondered if there's an Indiscrete Fourier Transform? A transform that does the maths, and then blabs about it to all your friends ;-)

[@maxla9691]

I'm confuse here. The signal we recorded from frequency encoding directly goes to the Fourier domain. I mean, we already record frequencies because we applied a gradient here: w=gamma (Bo + Delta G). The signal feeds in the Kspace directly. The 2D Fourier Transform should give the 2D image in space as an output. What we've recorded in the time domain is in fact the frequency domain itself (frequency in space, not in time). Am I right?

[@Meedan7]

Very much helpful

[@p.sreejaprabakar5599]

Very very useful

[@ichhabnenkanal5431]

soo helpfull thx very much

[@01rai01]

DFT = Discrete Fourier transform.

[@rfmonkey4942]

using a SDR to sample that signal is majical !

[@ridazainab1985]

Thnku

[@lorenzoalloni8804]

What kind of hat is that one?

[@mihaimoldo]

It's called a kippah, a religious Jewish head garment .

[@spectra6995]

This girl, who’s asking too much, speaks like Elhan Omar