Thanks

Brilli ant explanation! Thanks a lot!

You are the man!

The video was so great and informative for the basic concepts of tomography. Thanks!

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) ?

isnt this a low pass filter ?

YOUR EXPLANATION IS PERFECT WOW! you made a complicated idea sound so easy thank you so much

Mind blowing!!! I wish most professors and lecturers stop teaching and just play videos from people like you. Thank you for your fantastic explanation.

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

Hi. This has been very usefull for me. You did a sublime work. You are a great teacher. Thank you so much. 😄

Merci infiniment pour cette vidéo!

Thanks for the video. I see you made it using manim! May I access the code somehow?

Danke Bruder <3

Excellent lecture.

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?

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?

you genius

Amazing

Amazing; Thanks for taking the time to doing this

Can you share code of this video, please?

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.

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

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.

I have got a headache...

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

Amazing video, well explained! Helped me in studying for my medical imaging exam :D

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!

4:20 frequencies of what?

Now explaine it :)

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)

So good!

can i contact you. Needa help for my research

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?

Excellent animations!

Why no english subtitles? Why yt's auto generated subtitles in German?! I'm so confused

Absolutely amazing video! Subscribed.

Arigato gozaimas

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...

Nice one!!

Very cool video!

Share the timestamp when you lost it. Me is around 9:40 :-D

nice! but... why do we use integration? (6:15 and onward)

Sequel: diffraction tomography?

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

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.

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!

WTH is that🙄

What on earth is going on here? What are the bottles? Why are the temperatures moving around?

Fantastic work