MRI Field of View (FOV), Matrix Size, Receiver Bandwidth, Dwell Time | MRI Physics Course #11

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  • Опубліковано 17 лип 2023
  • High yield radiology physics past paper questions with video answers
    Perfect for testing yourself prior to your radiology physics exam 👇
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    =========================
    Let's look at how field of view and frequency encoding gradient strength influence receiver bandwidth. We'll then review how receiver bandwidth determines the Nyquist limit and how we can use this to know the required sampling rate. Once we know the sampling rate we can work out the sampling time (dwell time) and ultimately calculate the amount of time we need to acquire enough samples to satisfy the x axis resolution we need.
    =========================
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    Not sure if the question banks are for you?
    If you're here, you're likely studying for a radiology physics exam. I've spent the last few months collating past papers from multiple different countries selecting the most commonly asked questions. You'll be surprised how often questions repeat themselves!
    The types of questions asked in FRCR, RANZCR AIT, ARRT, FC Rad Diag (SA), ABR qualifying Core Physics and MICR part 1 are surprisingly similar and the key concepts remain the same throughout. I've taken the most high-yield questions and answered them in video format so that I can take you through why certain answers are correct and others are not.
    Happy studying,
    Michael
    #radiology #radres #FOAMrad #FOAMed

КОМЕНТАРІ • 49

  • @emrah_akay
    @emrah_akay 6 місяців тому +16

    Absolutely breathtaking! With 20 years spent as a radiology specialist physician , I must emphasize the immense value of this physics course. Your efforts are truly invaluable. Thank you ! 👏👏👏

    • @champsrt21
      @champsrt21 6 місяців тому +2

      you spent two decades as radiology resident??

    • @emrah_akay
      @emrah_akay 6 місяців тому +1

      @champsrt21 sorry my mistake 😅

  • @channanupulrith4822
    @channanupulrith4822 18 днів тому

    thank you for dedicating your time and energy into this. thank for making these videos available to everyone.

  • @snipushifu9770
    @snipushifu9770 11 місяців тому +5

    I have watched all your X-ray series videos and got to learn a lot. You have covered X-rays of almost all the joints except the knee joint. I was wondering if you could please make a video on that as well❤

  • @chrisw3492
    @chrisw3492 6 місяців тому +1

    absolutely brilliant, thank you

  • @remimartin01
    @remimartin01 10 місяців тому +2

    Appreciate your dedication in providing quality content. Thank you!

  • @Nana.nycxoxo
    @Nana.nycxoxo 3 дні тому

    Thank you this is so helpful!

  • @gudurisuresh7431
    @gudurisuresh7431 11 місяців тому

    Thank you doctor

  • @sadafaamir9753
    @sadafaamir9753 11 місяців тому +4

    Waiting for you to upload more videos. You have made it interesting. 😊

  • @sohailkohri7269
    @sohailkohri7269 11 місяців тому

    Amazing sir🎉🎉

  • @user-ls4jm3cg3c
    @user-ls4jm3cg3c 11 місяців тому

    Thankyou micheal🎉🎉

  • @michaelmiller8962
    @michaelmiller8962 7 місяців тому +1

    I wish you could've taught me everything I've gone to school for for the last 5 years

  • @user-eh8uo1pi5u
    @user-eh8uo1pi5u 11 місяців тому

    Thankyou micheal ❤❤

  • @user-xm6su9sf8z
    @user-xm6su9sf8z 11 місяців тому

    Great sir❤❤

  • @bodanamusicproduction876
    @bodanamusicproduction876 11 місяців тому

    Amazing❤❤

  • @mehboobalimehboobali5528
    @mehboobalimehboobali5528 11 місяців тому

    Thankyou micheal

  • @TriPham-yo7we
    @TriPham-yo7we Місяць тому

    Incorporation is different from corpration because if you work for corporation you be just a worker. Incorportion mean each member is equal in vontripution from money to labor to dicision and split equally in profit and even suffer equal lost

  • @mihirshroff6911
    @mihirshroff6911 8 місяців тому +1

    what is your workflow? how do you make such awesome animations?? which software you use? i am very curious to learn how to make such presentations.
    Thank you. 😃

  • @Nyanyahonyo
    @Nyanyahonyo 4 місяці тому

    Thank you so much😂

  • @rubyamir5245
    @rubyamir5245 Місяць тому

    @23:28 what’s the meaning of “specific gradient” that MRI would set according to the bandwidth? How to unfold the formula:
    Bandwidth = K(G x FOV)…. Can anyone explain in simple words?

  • @zohebmulla3670
    @zohebmulla3670 11 місяців тому

    Sir colon ulcers due to amoebiasis or amoebic colitis can be detected in MRI?

  • @JackyGSHR
    @JackyGSHR 18 днів тому

    I thought you have a bandwidth in z-axis too to create your slice thickness?

  • @sid17391
    @sid17391 11 місяців тому

    When is this series going to be finished and uploaded and complete

  • @cpr336
    @cpr336 Місяць тому

    i only have one question...Would you like to sir for my MRI ARRT exam?

  • @xz6065
    @xz6065 9 місяців тому +1

    Thank you for creating this tutorial, this is super helpful! I have one specific question about the segment around 15:25 in the video, where you demonstrated how the signals are sampled and received by the scanner. Does that mean each data point we collect across time contains the information of all waveforms, with the limit being determined by the highest frequency we aim to achieve?

    • @xz6065
      @xz6065 9 місяців тому +1

      We receive the sampled data points, estimate the overall signal, then do a Fourier transform to decompose. The maximum frequency is limited by the sampling rate (due to that if there is anything beyond the limit there will be aliasing?) Is this the correct way to interpret it? Thank you very much!

    • @radiologytutorials
      @radiologytutorials  9 місяців тому

      You’re 100% correct ✅ exactly the way to think about it!

    • @xz6065
      @xz6065 9 місяців тому

      Thank you so much! This tutorial series is awesome, really helped me a lot in understanding the concepts.

  • @dr.albertmir
    @dr.albertmir 2 місяці тому

    There is something I don't understand in this part. If the gradient comes from B (z axis), shouldn't we work with a sagital image? (even if it is just a slice). I mean, the protons precessing in less frequency would be on the bottom and the ones with more frequency on the top right? not left or right...

    • @khannizami7480
      @khannizami7480 Місяць тому

      Frequency encoding is along x axis so that makes it left or right phase encoding is along y axis so that’s top or bottom

  • @caiyu538
    @caiyu538 11 місяців тому

    👍

  • @aaditya3629
    @aaditya3629 11 місяців тому +1

    In the pulse echo mode, the usual clinical ultrasound transducer receive echo for how much of the total scan time?
    1) 25%
    2) 50%
    3) 75%
    4) 100%
    Sir what's the answer

    • @radiologytutorials
      @radiologytutorials  11 місяців тому

      Depends on how deep you’re imaging and what the pulse duration is. But generally receive time is >98% of the pulse repetition period

    • @aaditya3629
      @aaditya3629 11 місяців тому

      Thanks❤

  • @DrZubiaTarar
    @DrZubiaTarar 11 місяців тому +1

    Sir, Is MR question bank available?

    • @radiologytutorials
      @radiologytutorials  11 місяців тому

      Still working on it. Need to make sure it’s perfect 😅

    • @DrZubiaTarar
      @DrZubiaTarar 11 місяців тому

      ​@@radiologytutorialsThank you

  • @aaditya3629
    @aaditya3629 11 місяців тому

    Q. Which of the following is not related with the mri acquisition time?
    1 TE
    2 TR
    3 NEX
    4 ETL
    Iam preparing for my radiographer exam on 28 july