Introduction to k-Space

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  • Опубликовано: 8 янв 2025

Комментарии • 32

  • @mateoruizalvarez1733
    @mateoruizalvarez1733 Год назад +10

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

  • @黃竣煒-p7s
    @黃竣煒-p7s Месяц назад

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

  • @estherchantalamungalaba5295
    @estherchantalamungalaba5295 3 года назад +8

    Absolutely incredible explanation. Thank you!

  • @richardscritchfield4423
    @richardscritchfield4423 Год назад +1

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

  • @TheAwesomeMister
    @TheAwesomeMister 3 года назад +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

  • @jacobvandijk6525
    @jacobvandijk6525 3 года назад +2

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

  • @marinamaher8211
    @marinamaher8211 5 месяцев назад

    Simple explanation for a complex topic, thanks

  • @aladdin1776
    @aladdin1776 2 года назад +1

    THANK you so much for your great presentation

  • @adweet6691
    @adweet6691 Год назад

    Very helpful video!! thank you for sharing

  • @sidraveli6139
    @sidraveli6139 6 месяцев назад +1

    great video ... many thanks

  • @ricardo5875
    @ricardo5875 2 года назад +1

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

  • @JoLoGoe
    @JoLoGoe Год назад

    Thank you for this excellent explanation! Great!

  • @mengqiwu574
    @mengqiwu574 2 года назад

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

  • @ernstuzhansky
    @ernstuzhansky Год назад

    Wonderful explanation! Thanks!

  • @namangokhru9282
    @namangokhru9282 2 года назад +1

    Great explanation

  • @nreggente
    @nreggente 2 года назад

    masterfully related. a true teacher. thank you.

  • @redshifted8790
    @redshifted8790 3 года назад +2

    Brilliant explanation, thanks!

  • @FranciscoMorales-d1g
    @FranciscoMorales-d1g 4 месяца назад

    Very helpful, thank you!

  • @李柏勳-t8l
    @李柏勳-t8l Год назад

    Good explanation!

  • @UraniumGirl
    @UraniumGirl 2 года назад

    Thank you! This is really great and helpful.

  • @LiuDaNaMD
    @LiuDaNaMD 3 года назад +1

    fantastic!

  • @kirito-bt9ty
    @kirito-bt9ty 3 года назад +2

    Thanks for this vedio!

  • @akashgonga
    @akashgonga 10 месяцев назад

    thank you.

  • @asmaaalmasri7305
    @asmaaalmasri7305 2 года назад

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

    • @chenyangzhao247
      @chenyangzhao247 2 года назад

      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 года назад

      @@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 Год назад

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

  • @AlberGrau
    @AlberGrau Год назад

    Thanks really good video

  • @johnricely31
    @johnricely31 9 месяцев назад

    hell yeah

  • @menganbale7562
    @menganbale7562 8 месяцев назад

    这个口音比老外的好懂多了

  • @comment8767
    @comment8767 9 месяцев назад

    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.