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Hi, I'm trying to use the dixonfix on 6pt dixon images of size 384x384x340 with a spacing of 1.17x1.17x2. I do succeed to running it and get some output, but the result is not very good. So I was wondering how I should choose the different parameters in the config files? I struggle most with spacing (as it is limited by the hardware I use) and landa. If I use a spacing of 2 for training the regression trees I don't succeed in the end to run the dixonfix as it crashes on a memory error. What parameters would you advice for my data? Both during training of the regression trees and for running the dixonfix in the end?
Thank you in advance!
The text was updated successfully, but these errors were encountered:
HI. Apologies for the slow response. It's difficult to comment on the parameters as they may depend on specifics of the data, which I cannot judge. I wouldn't recommend using much lower resosultions than 2mm, so you may need to look for a machine with more RAM to make it work. Ideally, the regression forests should produce a visually reasonable prediction of the swap-free fat and water images. How do the predictions look for you? Can you share any screenshots?
Hi, I'm trying to use the dixonfix on 6pt dixon images of size 384x384x340 with a spacing of 1.17x1.17x2. I do succeed to running it and get some output, but the result is not very good. So I was wondering how I should choose the different parameters in the config files? I struggle most with spacing (as it is limited by the hardware I use) and landa. If I use a spacing of 2 for training the regression trees I don't succeed in the end to run the dixonfix as it crashes on a memory error. What parameters would you advice for my data? Both during training of the regression trees and for running the dixonfix in the end?
Thank you in advance!
The text was updated successfully, but these errors were encountered: