Introduction to k-Space

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  • เผยแพร่เมื่อ 8 ธ.ค. 2024

ความคิดเห็น • 32

  • @mateoruizalvarez1733
    @mateoruizalvarez1733 ปีที่แล้ว +8

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

  • @黃竣煒-p7s
    @黃竣煒-p7s 18 วันที่ผ่านมา

    You explained it very clearly and it really helped me a lot.Thank you!

  • @estherchantalamungalaba5295
    @estherchantalamungalaba5295 3 ปีที่แล้ว +8

    Absolutely incredible explanation. Thank you!

  • @richardscritchfield4423
    @richardscritchfield4423 ปีที่แล้ว +1

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

  • @sidraveli6139
    @sidraveli6139 5 หลายเดือนก่อน +1

    great video ... many thanks

  • @aladdin1776
    @aladdin1776 2 ปีที่แล้ว +1

    THANK you so much for your great presentation

  • @marinamaher8211
    @marinamaher8211 4 หลายเดือนก่อน

    Simple explanation for a complex topic, thanks

  • @ernstuzhansky
    @ernstuzhansky ปีที่แล้ว

    Wonderful explanation! Thanks!

  • @TheAwesomeMister
    @TheAwesomeMister 3 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

  • @adweet6691
    @adweet6691 ปีที่แล้ว

    Very helpful video!! thank you for sharing

  • @JoLoGoe
    @JoLoGoe ปีที่แล้ว

    Thank you for this excellent explanation! Great!

  • @jacobvandijk6525
    @jacobvandijk6525 3 ปีที่แล้ว +2

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

  • @ricardo5875
    @ricardo5875 2 ปีที่แล้ว +1

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

  • @namangokhru9282
    @namangokhru9282 2 ปีที่แล้ว +1

    Great explanation

  • @FranciscoMorales-d1g
    @FranciscoMorales-d1g 3 หลายเดือนก่อน

    Very helpful, thank you!

  • @nreggente
    @nreggente 2 ปีที่แล้ว

    masterfully related. a true teacher. thank you.

  • @mengqiwu574
    @mengqiwu574 2 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

  • @redshifted8790
    @redshifted8790 3 ปีที่แล้ว +2

    Brilliant explanation, thanks!

    • @loftlab
      @loftlab  3 ปีที่แล้ว

      Thanks

  • @李柏勳-t8l
    @李柏勳-t8l ปีที่แล้ว

    Good explanation!

  • @LiuDaNaMD
    @LiuDaNaMD 3 ปีที่แล้ว +1

    fantastic!

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

    Thanks for this vedio!

  • @UraniumGirl
    @UraniumGirl 2 ปีที่แล้ว

    Thank you! This is really great and helpful.

  • @akashgonga
    @akashgonga 9 หลายเดือนก่อน

    thank you.

  • @johnricely31
    @johnricely31 8 หลายเดือนก่อน

    hell yeah

  • @AlberGrau
    @AlberGrau ปีที่แล้ว

    Thanks really good video

  • @asmaaalmasri7305
    @asmaaalmasri7305 2 ปีที่แล้ว

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

    • @chenyangzhao247
      @chenyangzhao247 2 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 2 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

  • @minakshi2089
    @minakshi2089 ปีที่แล้ว

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

  • @menganbale7562
    @menganbale7562 7 หลายเดือนก่อน

    这个口音比老外的好懂多了

  • @comment8767
    @comment8767 8 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.