Fourier Slice Theorem

The Fourier Slice Theorem is the basis of the Filtered Backprojection reconstruction method.
This video is part of the "Computed Tomography and the ASTRA Toolbox" training course, developed at the Vision Lab at the University of Antwerp, Belgium (visielab.uantwerpen.be).
The ASTRA Toolbox is an open source tool for efficient and flexible tomographic reconstruction algorithms. It is being developed at the University of Antwerp, Belgium and at the Centrum Wiskunde & Informatica (CWI), Amsterdam, The Netherlands.
More information on the ASTRA Toolbox can be found at www.astra-toolbox.com
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Пікірлер: 20

  • @Tarvos89
    @Tarvos896 жыл бұрын

    Perfect explanation. Three and a half minutes that really brings it to the point

  • @markmcla
    @markmcla2 жыл бұрын

    Thanks for making this wonderful video. The Fourier Slice Theorem is astounding! You have provided a nice conceptual guide for me to work out the details for myself. Thanks again!

  • @ashleygesty7671
    @ashleygesty76718 жыл бұрын

    Thank you very much for this clear explanation it is very much appreciated!!!

  • @christerranaldo906
    @christerranaldo9062 жыл бұрын

    Thanks! Very clearly explained. I was only familair with 1D fourier so it seemed a little abstract but now I understand it.

  • @fahimafyzee4720
    @fahimafyzee47202 жыл бұрын

    Thank you so much!!! Really easy to understand the basic concept and idea behind it.

  • @melodychao8529
    @melodychao85296 жыл бұрын

    Thank you so much!!! You are such a great teacher!!

  • @msschubi
    @msschubi8 жыл бұрын

    Thanks, really good explanation :)

  • @pranjalsahu7928
    @pranjalsahu79286 жыл бұрын

    Thank you very much for the videos !

  • @yonatan365
    @yonatan3653 жыл бұрын

    Great explanation, thanks!

  • @manik5145
    @manik51452 жыл бұрын

    Clean and nice explanation

  • @sarahmohammed8487
    @sarahmohammed84874 жыл бұрын

    very helpful thank you !

  • @braitimages3018
    @braitimages30186 жыл бұрын

    The best explanation so far... Thanks so much

  • @spectra6995
    @spectra69954 жыл бұрын

    Thank you man

  • @tonihullzer1611
    @tonihullzer1611 Жыл бұрын

    Thats really great. But what exactly is f(x,y)? I understand it as an Absorption function at location x and y of the Objekt, related to the density and content of the object

  • @elahehamini
    @elahehamini5 жыл бұрын

    Can you please also explain the FBP algorithm for Photoacoustic Tomography?

  • @NoahSpurrier
    @NoahSpurrier Жыл бұрын

    Which video discusses Filtered Back Projection?

  • @Batman-em2he
    @Batman-em2he6 жыл бұрын

    what does p(theta) mean???

  • @UNK0VVN
    @UNK0VVN6 жыл бұрын

    How does this tie in with the Radon Transform?

  • @thomaswinslow7161

    @thomaswinslow7161

    5 жыл бұрын

    1D FT of radon transform for angle theta = line at angle theta through the 2D FT for the entire object

  • @1495978707
    @14959787072 жыл бұрын

    Good vid, but I’ll say that it would improve your videos if you could remove the reverb. Clear crisp audio is most pleasant to listen to technical stuff with