CT Image Reconstruction
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- Опубликовано: 30 июл 2024
- 0:00 Intro
0:17 Back Projection
1:20 Filtered Back Projection
1:34 Filters
1:49 Sharpening Filter
2:30 Smoothing Filter
3:05 Sharp vs Smooth
4:27 Iterative Reconstruction
5:52 Multi Planar Reformatting (MPR)
7:06 Rendering Modes: Averaging, MIP, MinIP
8:45 3D Volume and Surface Rendering
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Took me looking at about 20 CT scanning videos to see this exact explanation. Incredibly helpful! (Oh and terminology i can use eg filtered backprojection and iterative reconstruction to find more stuff!!!)
You make this so easy to understand. After trawling through numerous books, your video makes the most sense to me! Thank you
Thanks Will, this is a very helpful video
WOW!!!! Thank you!!! Very informative and knowledgeable!!!!
Thanks for the great explanation!
Great explanation! Thanks!
Beautiful Explanation Ever 💞
Wonderful explainations 👌👌
Very well explained !!
Wonderful explanation
Great content 👍 ThX
Thanku sir for this session
Nice share more good topics
Thank you so much
Thanku 😍❤️
THANKS
Bro I want to learn more from you 🙂 keep going..
Glad to help! This series is complete for now but there may be more content in the works down the road ;)
I like your explanation of the reconstruction processes currently in use. However, the explanation of MPR creation is out of date- we no longer use image data to create reformats, rather we use raw data to create multiplanar reconstructions that are of equal quality to the axial recons. It has been about 15 years since image data was considered adequate for creating MPR's.
Hi, could you offer a primary source validating your statement here? I am not aware of any CT scanner that does this. An MPR can be planned from the scout images, but it's still created from axial image data. An MPR, by definition, is created from image data.
@@gospelphysics Your interpretation is correct. While most scanners offer direct-to-MPR type options in their software - which I believe is what Caroline is describing - what this typically does is generates a "Volume" or set of very thin axial slices and then reformats those into MPRs. Under the definitions described in this video, this "Volumetric" dataset is still considered image data and is distinct from raw data. From the end-user software side it may appear that the MPRs are generated directly from the raw data, especially in instances where you are telling the scanner "Acquire this scan then reformat Axial, Coronal, Sag", but the step of creating a volume still exists and is completed by the software as a necessary step in the process.
Very well explained !!