Introducing MRI: Frequency Encoding (22 of 56)

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  • čas přidán 22. 09. 2014
  • www.einstein.yu.edu - 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.
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Komentáře • 25

  • @zillanialam4863
    @zillanialam4863 Před 4 lety +1

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

  • @yangtsekiang8745
    @yangtsekiang8745 Před 5 lety +2

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

  •  Před 6 lety

    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
    @drtomthomasmathew Před 4 lety +1

    Thanks for simplifying concepts,

  • @jennifers7048
    @jennifers7048 Před 4 měsíci

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

  • @adad8751
    @adad8751 Před 7 lety +1

    Thanks for sharing these useful videos

  • @tinasaeidi4656
    @tinasaeidi4656 Před 3 lety

    great lectures and great teacher

  • @CMyselfAndI
    @CMyselfAndI Před 6 lety +1

    Incredibly helpful, great professor. Thank you!

  • @maxla9691
    @maxla9691 Před 2 lety

    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
    @Meedan7 Před 4 lety

    Very much helpful

  • @p.sreejaprabakar5599
    @p.sreejaprabakar5599 Před 5 lety

    Very very useful

  • @ichhabnenkanal5431
    @ichhabnenkanal5431 Před 8 lety

    soo helpfull thx very much

  • @ridazainab1985
    @ridazainab1985 Před 4 lety

    Thnku

  • @avivpeleg2587
    @avivpeleg2587 Před 8 lety +10

    dft means Discrete Fourier transform, not digitl Fourier transform.

    • @ichhabnenkanal5431
      @ichhabnenkanal5431 Před 8 lety +3

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

    • @EinsteinCollegeofMed
      @EinsteinCollegeofMed  Před 7 lety +2

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

    • @lalithsharan4734
      @lalithsharan4734 Před 6 lety +1

      @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
      @gabrielebarbaraci3161 Před 6 lety

      is the same!!!!!

    • @mandolinic
      @mandolinic Před 6 lety +2

      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 ;-)

  • @01rai01
    @01rai01 Před 2 lety +1

    DFT = Discrete Fourier transform.

  • @lorenzoalloni8804
    @lorenzoalloni8804 Před 5 lety +4

    What kind of hat is that one?

    • @mihaimoldo
      @mihaimoldo Před rokem +1

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

  • @rfmonkey4942
    @rfmonkey4942 Před 3 lety

    using a SDR to sample that signal is majical !

  • @spectra6995
    @spectra6995 Před 4 lety

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