"Matt J" wrote in message <email@example.com>... > "Phillip" wrote in message <firstname.lastname@example.org>... > > > > > > 1) What I said about only needing one radon projection for the reference might be true in theory, but I found in practice with noisy data that this was not so good. I've actually abandoned the radon approach. > ===== > > Why not just increase the number of projection angles used for the reference image, so as to decrease the SNR?
I did try that when I started having issues. I didn't have much luck with it; I'm not sure why but it's probably because the angles of rotation are so small in my data. I could probably upsample the images to make this work better, but my images are quite large and I frequently have memory issues in Matlab. I liked the polar transform approach better because I was able to upsample in just the one dimension.