4 ms·
Not sure exactly what signal processing you're referring to - MRI would not work (would take prohibitively long) without compressed sensing. But I would not con
by andbberger 7y ago
Not sure exactly what signal processing you're referring to - MRI would not work (would take prohibitively long) without compressed sensing. But I would not consider that fairly sophisticated signal processing, it's in the classical limit and uses a simple prior that k-space is sparse.
- mattkrause 7y agoYou may be the first person I've ever seen use "simple" and "k-space" in such close proximity.
- andbberger 7y ago... as opposed to a much more complicated prior, such as a natural tissue model...
- mattkrause 7y agoOf course, but a) joke and b) if you haven't been exposed to it before--and in many cases, even if you have--it can seem pretty daunting.
- zackmorris 7y agoThanks for mentioning that, I didn't know about k-space. I worked with 2D Fourier transforms a lot in MATLAB about 15 years ago, but if anyone has info or examples of a 3D FT and how to interpret them, I'd love to see them.
- CamperBob2 7y agoMRI has been in use for much longer than compressed sensing has been understood, hasn't it?
- lostlogin 7y agoIn a research environment I encountered it about 3 years ago, and in a clinical one this year. Neither place were cutting edge with it, but the broader point is as you suggest - compressed sense/sensing (different vendor names, same thing) is pretty new.