UQx Bioimg101x 3.7.1 CT Back Projection

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A simple example of the Back Projection method used for Computed Tomography (CT) image reconstruction.

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Are you kidding me?? That was the greatest, simplest explanation ever! Thank you!

SF-fblv

Why do we need to subtract 18 after adding all the values from the projections?

jingsyuenwong

I can see these videos are 8 years back... Excellent videos. I would recommend you guys to start uploading medical imaging videos again with theoretical concepts, practical coding and latest research happening like in medical image processing, visualisation, AI and deep learning. It would become best medical imaging youtube channel.

prashantmulay

lol. After wasting 30mins looking for a simple explanation - this is it!!! Thank you! Wish you had added a little blurp at the end about iterative reconstruction and how that is different. Thanks.

YadaYadaYadadada

why do we remove the sum of the the values from the first projection (18) from all of the pixel values in the image before averaging?

dylan

btw in the book its written to divide by a common divisible number

upschidden

I Like this simple but rich explanation. thanks a lot

henrymponda

how came the remaining projections come out to be three ??? can anybody plzz explain this ....i did the same thing in my notebook but in my case the remaining projections are coming out to be 4

upschidden

Can you also talk about BP and FBP in Photoacoustic Tomography, please?

elahehamini

just wondering whose the back projection inventor ? is he Johann radon ?

MriExpert

i didn't get the remaining projection = 3 but, the video is fire!

nathnael

Nice explanation about Back Projection of 2 x 2 square, but I still don't how to explain a image in Image Processing

yuxiangwu

how to calculate in case of 3 by 3 image?

anwarshah

Very understanding explanation!!ThankYou!!

gordoflacus

cheers! really nice demonstration, thank you!

sotirissarros

Python slice operator

s='0123456789'
s[2:-1:-1]

Please answer sir

Akhileshreddy

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