Introduction to k-Space

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  • เผยแพร่เมื่อ 12 ก.ค. 2024
  • This is a basic introduction to k-Space for beginners covering spatial frequency, Fourier transform, k-space properties, and different k-space trajectories.

ความคิดเห็น • 29

  • @mateoruizalvarez1733
    @mateoruizalvarez1733 7 หลายเดือนก่อน +3

    By far the most clear explanation I've seen. Wonderful animations. Thanks!!

  • @sidraveli6139
    @sidraveli6139 5 วันที่ผ่านมา

    great video ... many thanks

  • @estherchantalamungalaba5295
    @estherchantalamungalaba5295 2 ปีที่แล้ว +7

    Absolutely incredible explanation. Thank you!

  • @TheAwesomeMister
    @TheAwesomeMister 2 ปีที่แล้ว +8

    Really nice presentation! Thank you a lot especially for the good examples and visalizations. I found it very helpful to see what happens in the spatial space when the k-space is blacked out at different degrees! All the best

  • @nreggente
    @nreggente 2 ปีที่แล้ว

    masterfully related. a true teacher. thank you.

  • @jacobvandijk6525
    @jacobvandijk6525 2 ปีที่แล้ว +2

    Really nice video. Thank you very much! I love this summation-fragment: 6:29.

  • @richardscritchfield4423
    @richardscritchfield4423 9 หลายเดือนก่อน

    This was the best explanation I have seen. Great work!

  • @ricardo5875
    @ricardo5875 2 ปีที่แล้ว +1

    Thank you for the excellent video lecture. I have shared it with my students.

  • @aladdin1776
    @aladdin1776 2 ปีที่แล้ว +1

    THANK you so much for your great presentation

  • @JoLoGoe
    @JoLoGoe 11 หลายเดือนก่อน

    Thank you for this excellent explanation! Great!

  • @UraniumGirl
    @UraniumGirl 2 ปีที่แล้ว

    Thank you! This is really great and helpful.

  • @ernstuzhansky
    @ernstuzhansky 11 หลายเดือนก่อน

    Wonderful explanation! Thanks!

  • @redshifted8790
    @redshifted8790 3 ปีที่แล้ว +2

    Brilliant explanation, thanks!

    • @loftlab
      @loftlab  3 ปีที่แล้ว

      Thanks

  • @LiuDaNaMD
    @LiuDaNaMD 2 ปีที่แล้ว +1

    fantastic!

  • @namangokhru9282
    @namangokhru9282 ปีที่แล้ว +1

    Great explanation

  • @adweet6691
    @adweet6691 ปีที่แล้ว

    Very helpful video!! thank you for sharing

  • @kirito-bt9ty
    @kirito-bt9ty 3 ปีที่แล้ว +2

    Thanks for this vedio!

  • @akashgonga
    @akashgonga 4 หลายเดือนก่อน

    thank you.

  • @mengqiwu574
    @mengqiwu574 ปีที่แล้ว

    defintely the best presentaiton I've ever seem in this topic. The visualizations are super clear and easy to grasp. Thank you so much

  • @user-fk1nf8br8o
    @user-fk1nf8br8o 8 หลายเดือนก่อน

    Good explanation!

  • @johnricely31
    @johnricely31 3 หลายเดือนก่อน

    hell yeah

  • @asmaaalmasri7305
    @asmaaalmasri7305 ปีที่แล้ว

    Can you elaborate on why the phase does not show the same intensity variation as the magnitude

    • @chenyangzhao247
      @chenyangzhao247 ปีที่แล้ว

      MRI signal is the xy component of the magnetization. The magnitude is the length of the xy component, while the phase is the direction of the xy component. Let's take gray matter and CSF as an example. When you apply an excitation RF and wait the same amount of time (TE) to acquire the signals, CSF will have a higher signal magnitude than GM because of slower T2 relaxation. However, the directions of the magnetization (phase) of GM and CSF should be the same because the spins were tipped to the same direction by the same RF and have the same angular velocity due to same B0. So, ideally, you should observe intensity variation in magnitude but not in phase. However, there are always imperfections, including B0 offset, inaccuracy of readout time, susceptibility, etc..., which cause the intensity variation in phase. Some MR technologies create intensity variation in phase on purpose, such as phase contrast MRA which allows flowing spins accumulate phases by applying a bipolar gradients along the direction of the flow. This is an interesting topic, and hope my response is helpful for you.

    • @asmaaalmasri7305
      @asmaaalmasri7305 ปีที่แล้ว

      @@chenyangzhao247 thank you for your answer.
      I have many questions in image reconstruction
      that well be very nice if u can answer me :)
      1- why an FFT shift needs to be carried out on k-space before and after the iFFT is applied. What is the purpose of the FFT shift?
      2- Where are low-frequency components located in k-space?
      3-What happens if you only apply the FFT shift before, but not after performing the iFFT on the k-space

  • @AlberGrau
    @AlberGrau ปีที่แล้ว

    Thanks really good video

  • @minakshi2089
    @minakshi2089 ปีที่แล้ว

    Is there anyone working on k space and codings ???

  • @menganbale7562
    @menganbale7562 2 หลายเดือนก่อน

    这个口音比老外的好懂多了

  • @comment8767
    @comment8767 3 หลายเดือนก่อน

    ok video, audio sucks. Has reverb or echo in it that makes it harder to understand. Sounds like it went through a low pass filter.