Hi all:
I am working on a resting state data set of mice. I have followed the tutorial of rodents data processing. My question is after I augmented each voxel by 10 what is the smoothing kernel I should use?. I understand it is supposed to be 2-3 times the size of the voxel, so should I consider the size of the voxel before or after the augmentation?.
for example: the original size of the voxel was 0.5X0.5X0.5 and after augmentation it became 5X5X5, so the kernel should be 1X1 or 10X10.
Thank you.
Amr
Re: [RFMRI] smoothing after
Now, after the normalization,
Now, after the normalization, the voxel size changed to match the template. So, it is now 0.9 x 0.9 x 0.9. I think I should adjust my kernel based on this new size not the original one. I noticed that the default value in DPABI is 6 x 6 x 6 based on that the template you incorporated in the software is 2 x 2. Is this correct or should I consider the original size?
Thank you,
Amr
I guess 2x2x2 kernel is
I guess 2x2x2 kernel is enough for your 0.9x0.9x0.9 (after augmentation) data.
Best,
Chao-Gan