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Hi,
I have some questions regarding your algorithm.
I would like to know how your algorithm does its initializations and if it's possible to have an influence on them?
Because to segment an mp2rage image, I use this command:
brain_seg -g -n 4 -C mprage.nii rmp2rage.nii -x mask.nii --em-iterations 3 --output-steps -o prefix2 -l 0.3
So "-g" means I'm using posteriori probability which is more robust than use an atlas. Am I right?
Do you have any recommendations in order to increase the quality of the results of segmentation in the case of an mp2rage?
Is it possible to find a paper that explains how the algorithm works?
Otherwise, I use this command:
brain_seg -g -n 4 -C mprage.nii --bias-ouput --bias-corrected-output -x mask.nii --em-iterations 3 --output-steps -o prefix2 -l 0.3
in order to get the estimated Bias field and the corrected input image. In this case (mprage), it works very well.
Thanks in advance.
seb
The text was updated successfully, but these errors were encountered:
oesteban
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Hi,
I have some questions regarding your algorithm.
I would like to know how your algorithm does its initializations and if it's possible to have an influence on them?
Because to segment an mp2rage image, I use this command:
brain_seg -g -n 4 -C mprage.nii rmp2rage.nii -x mask.nii --em-iterations 3 --output-steps -o prefix2 -l 0.3
So "-g" means I'm using posteriori probability which is more robust than use an atlas. Am I right?
Do you have any recommendations in order to increase the quality of the results of segmentation in the case of an mp2rage?
Is it possible to find a paper that explains how the algorithm works?
Otherwise, I use this command:
brain_seg -g -n 4 -C mprage.nii --bias-ouput --bias-corrected-output -x mask.nii --em-iterations 3 --output-steps -o prefix2 -l 0.3
in order to get the estimated Bias field and the corrected input image. In this case (mprage), it works very well.
Thanks in advance.
seb
The text was updated successfully, but these errors were encountered: