The video was so great and informative for the basic concepts of tomography. Thanks!
@user-vl6bt6st4x4 ай бұрын
Wait. When we have circle (2:50) and rectangle (3:50) as objects in a sinogram we get some shit picture. But when we have Pi letter object we get an image of Pi (4:10 ). Did I miss something? And what is the difference between what we do here (4:10) and there (2:40) ?
@ahmadayoubi18304 ай бұрын
isnt this a low pass filter ?
@ahmadayoubi18304 ай бұрын
YOUR EXPLANATION IS PERFECT WOW! you made a complicated idea sound so easy thank you so much
@parhamzolfaghari73944 ай бұрын
Mind blowing!!! I wish most professors and lecturers stop teaching and just play videos from people like you. Thank you for your fantastic explanation.
@benjaminhezrony57615 ай бұрын
This is SUCH a great video on the topic. Fantastic animations! I do research in CT super resolution, so this provided a lot of good background and visualizations on the source of the images I super resolve
@camilogomez7755 ай бұрын
Hi. This has been very usefull for me. You did a sublime work. You are a great teacher. Thank you so much. 😄
@zign20445 ай бұрын
Merci infiniment pour cette vidéo!
@someonetoogoodforyou6 ай бұрын
Thanks for the video. I see you made it using manim! May I access the code somehow?
@Marie-yx7qs6 ай бұрын
Danke Bruder <3
@lavimuia76127 ай бұрын
Excellent lecture.
@matthewjames75137 ай бұрын
Hi can I please email you with a question I've got about the HPF for a specific engineering problem I'm stuck on? Or is there another way you'd prefer to be contacted?
@matthewjames75138 ай бұрын
Thanks for the video! I was following the proof very carefully. I believe you've made a small typo at 13:16 on the second last tline. I believe p_tilde is a function of phi and s. Whereas you have written p_tilde(w,s). This is because once you evaluate the inverse FFT the w should get removed. The next line, you just integrate out the phi and leave the s untouched. But s is a function of phi as well so I think the final summation should look different too, right?
@corentink38878 ай бұрын
you genius
@vishalnimesh384610 ай бұрын
Amazing
@jubieralonsojimenezcamargo573210 ай бұрын
Amazing; Thanks for taking the time to doing this
@MyDum11 ай бұрын
Can you share code of this video, please?
@matthewjames751311 ай бұрын
Thanks so much for this video. I learned a lot. At 13:41 you make a discrete approximation for the inverse radon transform. I'm interested in coming up with a matrix representation for the Radon Transform [R] and Inverse Radon transform [R]^-1 such that: [R]f = p and [R]^-1p = f Do you know what expressions I can use for [R] and [R]^-1 can be? As context: I'm running an optimization algorithm where I need to calculate [R][R]^T f. I have no idea how to find [R][R]^T though.
@shailesh4673 Жыл бұрын
Thank you very much for this video!! my friends and I were struggling on a past year problem for our medical imaging class and this video cleared everything up
@rohitkumarsaini2219 ай бұрын
I have been facing problems with removing the tomography effect from OPG dental image. Anybody can help me please
@troyfrei2962 Жыл бұрын
I see these types of artifact in MRI scans. Each data point in 2DFFT K-space make a wave form in Image space. By deleting that K-space data point removes that white Artifact. In MRI this artifact is mainly caused by a Spark being pick up by the MRI coil.
@simonmaverick9201 Жыл бұрын
I have got a headache...
@MariaJose-ub9rt2 жыл бұрын
Thank you so much! i study Nuclear Medicine and this part of tomographic images is so hard to understand! but the video really helped me. Greetings from Argentina
@AForce2952 жыл бұрын
Amazing video, well explained! Helped me in studying for my medical imaging exam :D
@shervinnia74562 жыл бұрын
Hello! This animation is extremely useful, and I'd like to publish some parts of it to open-source resources for understanding tomography in the context of structural biology. Would I be able to post parts of this video with credit given and a link back to the channel? I'd also love to have a look at the source code if you're open to that. Thank you!
@Kolibril2 жыл бұрын
Thanks for your feedback! That sounds like a really nice project, and I would like to make my animations available to it. Further details we can discuss via direct message.
@fuckyoutubengoogle22 жыл бұрын
4:20 frequencies of what?
@fuckyoutubengoogle22 жыл бұрын
Explanation is out of order.
@phonix64942 жыл бұрын
Now explaine it :)
@Kolibril2 жыл бұрын
Here it is: kzbin.info/www/bejne/nKOtiayYgqmfpsU
@phonix64942 жыл бұрын
@@Kolibril Wow thank you
@alexkart92392 жыл бұрын
4:30 poor explanation. there is no any info about this "frequency" and wtf is these -150~150 values. i cant see anything negative on the picture, i see only positive brightness from 0.0 (black) to 1.0 (white)
@SirTravelMuffin2 жыл бұрын
So good!
@aymaneelfahsi80482 жыл бұрын
can i contact you. Needa help for my research
@MooImABunny2 жыл бұрын
I can't find a formula for the Shepp-Logan filter online it looks from what you graphed and the fact that it should start like |w|, that its 2|sin(w/2)| for -pi<w<pi is there an open article that talks about it that you can send my way?
@error200http2 жыл бұрын
Excellent animations!
@atlasxatlas2 жыл бұрын
Why no english subtitles? Why yt's auto generated subtitles in German?! I'm so confused
@Kolibril2 жыл бұрын
I just changed the video settings, now there should be English subtitles as well.
@NoNTr1v1aL2 жыл бұрын
Absolutely amazing video! Subscribed.
@shafin86142 жыл бұрын
Arigato gozaimas
@kphk34282 жыл бұрын
I always wanted to learn about this! The animations are amazing. You put a lot of effort into it. It saddens me that it isn't getting more views...
@janfayeebojo97182 жыл бұрын
Nice one!!
@thebees9553 жыл бұрын
Very cool video!
@AleksandrMotsjonov3 жыл бұрын
Share the timestamp when you lost it. Me is around 9:40 :-D
@71sephiroth3 жыл бұрын
nice! but... why do we use integration? (6:15 and onward)
@moesterer3 жыл бұрын
Sequel: diffraction tomography?
@phonix64943 жыл бұрын
Thank you for this video, it really remindet me how connected everything is, so many concepts that I already had a glimce at shining in a new light. Aesome video music and Visuals
@Caspar__3 жыл бұрын
Wow, this is great. I am really looking forward to when I learn fourrier Transforms next semester, so I can appreciate the beauty at play here. I have been thinking about going into medical physics and I appreciate, that even there many mathematical concepts are at play.
@BrianAmedee3 жыл бұрын
The visualisations were really satisfying to watch, and thanks big time. I have never 'understood' how CT scanners actually work. This makes so much sense now!
@I_hate_you_Forza_motorsport3 жыл бұрын
WTH is that🙄
@KheHindenburg2 жыл бұрын
Carnot Cycle Animation
@BANKO0073 жыл бұрын
What on earth is going on here? What are the bottles? Why are the temperatures moving around?