Diffusion Tensor Imaging (DTI)

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  • čas přidán 6. 06. 2024
  • Describes and demonstrates the MR technique of Diffusion Tensor Imaging and reviews some of the basic mathematics of Tensors including matrix multiplication, eigenvalues and eigenvectors.

Komentáře • 49

  • @AryaPhoenix
    @AryaPhoenix Před 3 lety +21

    Never heard a more clear and down to the point explanation of these matrix algebra concepts!

  • @treywest268
    @treywest268 Před rokem +2

    I am not a doctor, nor am I very strong at higher levels of mathematics, I must say though that this video has been very informative to to me and easy to follow and understand a complicated subject almost down to layman's terms.
    I have been very interested in DTI since I have been on a journey of discovery about myself.
    I am 60 years old and only in the past 1y 6m have realized that I am very likely to be on the ASD. I have found out that DTI's can be used to reveal autism in children with a high precision of accuracy. I am hoping that those same stats will hold true for an older adult.
    I have been in the process of finding a doctor and a facility that performs such testing.
    Thank you for this video as it has given me a bit more hope that other medical professionals will see it and find out that it is an extremely safe, non-invasive way to study the inner workings of one individuals brain.
    Thank you again!!!

  • @dimitheodoro
    @dimitheodoro Před 4 lety +8

    Excellent!!! Finally, Tensors seem friendly to me thanks to your inspirational video!

  • @alfonsotoriz7563
    @alfonsotoriz7563 Před 2 lety +1

    Marvellous explanation, Dr. Klioze. Thanks to you, I've finally been able to grasp DWI and DTI key concepts.

  • @drpowerdoppler4620
    @drpowerdoppler4620 Před 2 lety

    This mini class.... just awesome. THANK YOU!

  • @hchattaway
    @hchattaway Před rokem

    ok, where were you 40 years ago when i took discrete mathematics in college? Where!? Matrix Algebra was wicked confusing and you made it simple along with an application that is totally remarkable and bordering on magic... Thanks!

  • @SF-fb6lv
    @SF-fb6lv Před 3 lety

    You are the best! Great tensor explanation!

  • @asifhaiderelhan
    @asifhaiderelhan Před 3 lety

    Excellent detailed presentation!

  • @LD-vi5ls
    @LD-vi5ls Před 2 lety

    Thank you so much! I was struggling so much with understanding of DTI. Your video saved me! 👏

  • @yeahzisue
    @yeahzisue Před 4 lety +1

    the most underrated youtube video !

  • @iosuegea9607
    @iosuegea9607 Před 4 lety +1

    You explained it perfectly. Thank you

  • @zzzeina3566
    @zzzeina3566 Před 2 lety

    This video was incredible, thank you so much!

  • @PoetryVistas
    @PoetryVistas Před 5 lety +1

    Bravo! Fantastic explanation!

  • @bhuvaneshs.k638
    @bhuvaneshs.k638 Před 5 lety +2

    U just nailed it... Awesome video thqs 👍🏻

  • @volverearound6445
    @volverearound6445 Před 3 lety

    Thanks! looking forward to the explanation of HARDI!

  • @evberger-wolf6219
    @evberger-wolf6219 Před 4 lety +2

    Thank you for helping me to understand concepts and for saving my grade in my first year seminar :)

  • @gabrielaraleva2900
    @gabrielaraleva2900 Před 4 lety

    This is extremely helpful, thanks a lot :)

  • @manonlevayer6035
    @manonlevayer6035 Před 2 lety +1

    Hi Dr Klioze! Thank you so much for your videos, they are so helpful! I was wondering if you had plans to make one for Quantitative Susceptibility Mapping? :)

  • @austincooper5132
    @austincooper5132 Před 3 lety

    Absolutely fantastic content. Where'd you learn all of these computational illustration skills Dr. Klioze?

  • @AnilKumar-iy6hr
    @AnilKumar-iy6hr Před rokem

    Nice explanation! thanks for the video!

  • @brettruss3359
    @brettruss3359 Před 4 lety +1

    amazing content, thank you!

  • @lakshikasewwandi6151
    @lakshikasewwandi6151 Před 3 lety +1

    I understood fundamental things and it's very useful video 👍👍

  • @alirezaei447
    @alirezaei447 Před 3 lety

    very informative, good job!

  • @maxwellchen5952
    @maxwellchen5952 Před 4 lety +1

    amazing video!

  • @federicoortega5664
    @federicoortega5664 Před 3 lety

    This is just... so awesome.

  • @dr.monikasati1427
    @dr.monikasati1427 Před 3 lety +1

    Thank you so much it's very helpful for me 😊

  • @Charlotamy
    @Charlotamy Před 5 lety +1

    Amazing, thank you!

  • @rostammolaee7885
    @rostammolaee7885 Před 3 lety

    So amazing Doctor

  • @user-ee2jl6uu1d
    @user-ee2jl6uu1d Před 3 lety

    BEST. CHANNEL. EVER

  • @drallisimo34
    @drallisimo34 Před 2 lety

    very explanatory tutorial on DTI

  • @melanygomez5028
    @melanygomez5028 Před rokem

    Hi, thank you for this video. Do you think this method could be used to study the neural origin and mechanism of phantom limp pain as it could possible show us the flow of information between different neural networks?

  • @isacahasverus7434
    @isacahasverus7434 Před rokem

    Thanks for the great class. A question: are the eigenvalues of matrix 5,7,3 correct? Redoing the calculations I found 5, -2 and -1.

  • @MrJemoeder1990
    @MrJemoeder1990 Před 3 lety

    Amazing video

  • @ruthven78
    @ruthven78 Před 5 lety +2

    just wish we could get insurances to cover these better for TBI survivors like myself. injury decades where MRI and CT are normal but QEEG showing deficit

  • @deyumai
    @deyumai Před 3 lety

    I wish I could have seen this earlier.

  • @Devan1191
    @Devan1191 Před 5 lety +2

    Great video! Does DTI only show white matter tracts or can it show grey matter direction as well?

    • @DoctorKlioze
      @DoctorKlioze  Před 5 lety +7

      The grey matter is basically the axon cell bodies which, if normal would demonstrate isotropic diffusion. Since the flow is symmetric in all directions, tensor analysis would basically give you a spherical ellipsoid which really would be meaningless in a tractography reconstruction. Besides, we can see the pathology of the grey matter very well with standard MR techniques. Remember, with tensor analysis we're demonstrating the anisotropic diffusion of hydrogen protons through the brain which would infer the path of the axon bundles. Does that make sense?

    • @Devan1191
      @Devan1191 Před 5 lety

      Yes thank you.

  • @tamamalenazi4682
    @tamamalenazi4682 Před 5 lety +1

    YOU ARE THE BEST>>>>>>>>>>>3

  • @oliver_siegel
    @oliver_siegel Před 4 lety +1

    Bruh... 🤯 Needs a link or annotation to the first video that's referenced tho

  • @tomislavzg742
    @tomislavzg742 Před 10 měsíci

    Can water diffusion explain how reflexology work? For example, if someone massage my foot, I feel it in my brain. Maybe dynamic of water in the brain is affected when we do a pressure on water diffusion fibers in foot.

  • @faprakaisomwan8843
    @faprakaisomwan8843 Před 2 lety

    thank you

  • @bluelionpuza206
    @bluelionpuza206 Před 2 lety

    omg, i understood eigenvector.

  • @tomislavzg742
    @tomislavzg742 Před 10 měsíci

    Is there any disease in which water starts to recede from some body structures?

    • @DoctorKlioze
      @DoctorKlioze  Před 10 měsíci +1

      There are many factors that affect regional tissue fluid content including your state of hydration, the integrity of the arteries and veins carrying blood to and from the regional tissues, a functional lymphatic system and abnormal oncotic pressures (various solutes dissolved in the blood like proteins and minerals that draw fluid into the vessels for recirculation and eventual elimination from the body by the kidneys).
      So, the short answer would be no. Not a specific disease but a combination of factors could definitely affect regional tissue fluid content. Does that answer your question?

    • @tomislavzg742
      @tomislavzg742 Před 10 měsíci

      @@DoctorKlioze Yes, thank you.

  • @tomislavzg742
    @tomislavzg742 Před rokem

    I bet whole body is structured from fibers like in picture on 2:10

  • @mattis1307
    @mattis1307 Před 3 lety

    4:58

  • @Luosofthesoul
    @Luosofthesoul Před 2 lety +1

    M for Monster truck took me out