Timeline for Is there any theory of the minimum amount of data for tomographic reconstruction?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 10, 2020 at 20:22 | vote | accept | jakeoung | ||
| Mar 10, 2020 at 20:22 | vote | accept | jakeoung | ||
| Mar 10, 2020 at 20:22 | |||||
| Jan 28, 2020 at 10:20 | comment | added | Ander Biguri | In the CT lab I was working at, where we scanned non-live samples (so no fear of radiation damage), we would scan pi*H number of angles in a CBCT geometry. I don't know the particular maths of this, but the reason I was given was "that way we fully sample the Fourier (I suppose they meant Radon) space". Definetly the filtered backproojection-type of algorithms would do a good job on it with this sampling. Iterative algorithms are a different thing, they can do quite a decent job with considerably less data. | |
| Jan 26, 2020 at 9:00 | history | tweeted | twitter.com/StackSciComp/status/1221357193347452929 | ||
| Jan 24, 2020 at 16:52 | answer | added | Brian Borchers | timeline score: 5 | |
| Jan 23, 2020 at 21:58 | history | asked | jakeoung | CC BY-SA 4.0 |