Comments (9)
Hi Patrick,
If I understand you correctly, you'll want to add a '-nearest_neighbour' argument when you call mincresample to avoid interpolation.
a
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Thanks you Andrew for the fast reply. That was exactly what i needed.
Regards
from minc-tools.
I'm sorry for asking something like this again but:
after i register one image with the standard_pipeline if I want t register the hippocampus mask of that image shouldn't i just use: mincresample -nearest_neighbour /
-transformation transformation_file_from_pieline.xfm /
-like mni_icbm152_t1_tal_nlin_sym_09c.mnc /
mask.mnc mask12_reg.mnc
Something is going wrong with the resampling.
Thanks for the help in advance.
Patrick
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Hello,
can you define precisely what kind of data you have and what are you trying to achieve?
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Both images (MR image an manually segmented hippocampus mask image) were download from ADNI database. Basically I will need to know which potions in the original image will correspond to the hippocampus after the registration. The registration of the original image was made using standard_pipeline.pl. Now I was trying to apply the same registration to the mask file. Sorry if i'm note making myself clear enough.
from minc-tools.
Then , I suggest using
itk_resample --byte --labels --transform transformation_file_from_pieline.xfm --like mni_icbm152_t1_tal_nlin_sym_09c.mnc input.mnc output.mnc
Also, make sure that labels align with the anatomy as was used as input for the pipeline (i.e in Display or register )
from minc-tools.
The masks appear to have some translation. When i use mincinfo the start point isn't the same. That could result in some problem in the registration?
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Check if the voxels in masks properly align with anatomical scans using register or display (i.e minc programs).
from minc-tools.
No, they are not. The MRI was preprocessed so probably there is some kind translation I wasn't aware. I will try using the original image. Thank you so much for the help.
Regards
Patrick
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