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Introducing MRI: K-space: Features and Tricks (24 of 56)

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  • เผยแพร่เมื่อ 22 ก.ย. 2014
  • www.einstein.yu.edu - The twenty-fourth chapter of Dr. Michael Lipton's MRI course covers K-space: Features and Tricks. Dr. Lipton is associate professor radiology at Albert Einstein College of Medicine and associate director of its Gruss Magnetic Resonance Research Center.

ความคิดเห็น • 18

  • @jefferson6449
    @jefferson6449 4 ปีที่แล้ว +10

    Michael Lipton on 1.5 speed is a spiritual experience for me

    • @natjimoEU
      @natjimoEU 3 ปีที่แล้ว +1

      i know right, im learning at such a fast speed

  • @kawarpalsingh6812
    @kawarpalsingh6812 ปีที่แล้ว +1

    You are a gem. These are the most excellent and priceless lectures I have ever listened. Thanks a lot Professor.

  • @tadasdidvalis3246
    @tadasdidvalis3246 ปีที่แล้ว

    Finaly! Finaly an explanaition why k-space amplitude is highest in the center and dies out towards the edges. Thank you!

  • @rjr287
    @rjr287 5 ปีที่แล้ว +2

    This lecture series is awesome for radiology residents, thank you for posting

  • @michaelkramer8601
    @michaelkramer8601 4 ปีที่แล้ว +1

    I wish I would have found these videos before I passed my MRI boards. These videos helped explain several concepts that I lacked proficiency. Might have to go and watch the whole series to complement the sources I read on my own.

  • @effiongjay373
    @effiongjay373 2 ปีที่แล้ว +1

    Such an important series and so well presented. Thanks Dr Lipton and I wish there's a series like this for CT. I'm a radiography student from Nigeria and these lecture awakens my interest in mri. Such a priceless piece.

  • @ivanradovic2916
    @ivanradovic2916 5 ปีที่แล้ว +1

    Priceless.
    Thank you, Dr. Lipton.

  • @joemo4104
    @joemo4104 7 ปีที่แล้ว +2

    You did such an amazing job in explaining all this thank you so much for this whole lecture! I'm currently going to university in austria (radiology technology) and you helped me out so so much!! :)

  • @SM-ls6rw
    @SM-ls6rw 7 หลายเดือนก่อน

    It's my understanding that free induction decay or T2* curves now do play a large part in imaging (for instance, iron quantification in the liver).

  • @e13mtke13mtk
    @e13mtke13mtk 7 ปีที่แล้ว +2

    this is an incredible resource! thanks again!

  • @fossegutten6579
    @fossegutten6579 4 ปีที่แล้ว +1

    This man is a genius

  • @vijayawankhade9886
    @vijayawankhade9886 4 ปีที่แล้ว

    Thank u so much sir...ur teaching style just awesome..thank u

  • @satchelmcleod6040
    @satchelmcleod6040 8 ปีที่แล้ว

    Awesome job!

  • @yongkailiu1448
    @yongkailiu1448 5 ปีที่แล้ว

    Really great teaching!!!

  • @user-zb8nw1py6k
    @user-zb8nw1py6k 2 ปีที่แล้ว

    It is very helpful lecture. Thank you professor.

  • @mihaimoldo
    @mihaimoldo ปีที่แล้ว

    One question I would have and i think nobody asked is that, are there multiple k-spaces for all the slices or just one k-space for the whole sequence ?
    I mean when you acquire 30 slices on the head, does the computer use 30 k-spaces or just one for every bit of information /signal?.

  • @ChokeArtist411
    @ChokeArtist411 ปีที่แล้ว

    @8:24