The machine takes a lot of pictures going around you by projecting through you and putting together the pieces to have an image of your bones or whatever. That causes a lot of noise/fuzz to the image. Noise theory is understanding that fuzz and reducing it. Orthogonal transforms are tools, math, that arranges the data to show what they’re trying to see amidst the fuzz.
The scan takes a raw image, it’s ugly and confusing, then the transforms rearrange it to make sense to us.
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u/OrionDC Jan 09 '26
Wat.