Deep Learning CT (from AAPM 2021)

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ความคิดเห็น • 24

  • @jslu0413
    @jslu0413 3 ปีที่แล้ว +2

    Thank you for presenting such a technical advancement in a way that's so approachable even to an amateur like me!

  • @morhafhaidar4949
    @morhafhaidar4949 ปีที่แล้ว

    very interesting. I am working on a very similar problem. But with a planar ct system. so the input for reconstruction is not a sinogram but a stack of xray raw images of the object from different angles. how can I use this approach to reconstruct the ct slices?

    • @HowRadiologyWorks
      @HowRadiologyWorks  ปีที่แล้ว

      Sorry I don’t consult on specific projects on TH-cam.

  • @daochengzhang7014
    @daochengzhang7014 2 ปีที่แล้ว

    Could you tell me the source of the deep learning motion artifact paper at 19:00?

    • @HowRadiologyWorks
      @HowRadiologyWorks  2 ปีที่แล้ว

      That is actually a modification of the weighting function in the recon that is made possible by the improvements in denoising.

  • @yessslawwwd4214
    @yessslawwwd4214 ปีที่แล้ว

    Great video! Any other recent radiology innovations you'd recommend I have a look at to make my answers stand out in my finals?

    • @HowRadiologyWorks
      @HowRadiologyWorks  ปีที่แล้ว

      Probably check out photon counting CT as well.

  • @woodr2468
    @woodr2468 10 หลายเดือนก่อน

    Amazing content. Really appreciate your passion to deliver such materials.

    • @HowRadiologyWorks
      @HowRadiologyWorks  10 หลายเดือนก่อน

      Glad you enjoy it! Share with others 😉

  • @zhaobryan4441
    @zhaobryan4441 ปีที่แล้ว

    dude plz share the slides

  • @abdullahiadan7030
    @abdullahiadan7030 3 ปีที่แล้ว +1

    I would like you to gives us some information about ultrasound.

    • @HowRadiologyWorks
      @HowRadiologyWorks  3 ปีที่แล้ว

      Hi Abdullahi, thanks for your suggestion. I am focusing on x-ray and Ct to start since this is my specialty but I could add some ultrasound content later if others are interested. Please comment below if you too would like to see ultrasound on the channel.

    • @abdullahiadan7030
      @abdullahiadan7030 3 ปีที่แล้ว +1

      Thanks for you concern. Really appreciate

    • @azzeddineharti9651
      @azzeddineharti9651 3 ปีที่แล้ว +1

      @@HowRadiologyWorks interested

    • @riccardozoia2420
      @riccardozoia2420 3 ปีที่แล้ว

      @@HowRadiologyWorks I would appreciate it too. Amazing videos, radiology for me was so unintelligible but your video seems so clear !!! Thanks a lot from Italy :P

    • @HowRadiologyWorks
      @HowRadiologyWorks  3 ปีที่แล้ว +1

      @@riccardozoia2420 thanks for your feedback. Are there specific areas of ultrasound that you are interested in? I am focusing first on x-ray and CT but if there are a couple of specific ultrasound videos I can consider adding. Thanks for your kind words.

  • @ahmeda.al-tameemi8001
    @ahmeda.al-tameemi8001 2 ปีที่แล้ว

    very interesting ,thank you so much sir, could you please share the code

    • @HowRadiologyWorks
      @HowRadiologyWorks  2 ปีที่แล้ว

      Sorry Ahmed the code is not shared by medical vendors for image chain components.

  • @abdovitamins6331
    @abdovitamins6331 ปีที่แล้ว

    CT progress train is travelling fast,😳

    • @HowRadiologyWorks
      @HowRadiologyWorks  ปีที่แล้ว +1

      You are traveling fast through my videos too