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Lisa,

There are two parts to normalization:
(1) Estimating the normalization parameters; and
(2) Writing normalized images.

The two steps are independent of each other. The write step can write out the images at any resolution that you choose.

You can overlay/display side-by-side the images with any software that doesn't require the same image size: (1) SPM CheckReg; and (2) FIVE come to the top of my mind, but I am sure there are others as well.

When normalization fails - it will really fail. Thus, if the anterior/posterior/inferior/superior/left/right extent of the brain lines up with the template after normalization AND you have all of the brain in the image, then normalization worked.

-Donald

On Sat, Jul 11, 2015 at 2:20 PM, Lisa McDermott <[log in to unmask]> wrote:
Hello all,

Perhaps I am completely misunderstanding this, but when I perform normalization on a dataset, it generates images with dimensions that do not match the 305T1 template or the TPM. I am using SPM12, but I've noticed the same issue with SPM8. What is going on? I noticed this because I've not been able to load both the 305T1 or the TPM on the normalization results using fslview. Does this have something to do with voxel size? If so, how can I get it so that I am able to overlay those datasets on the 305T1 and the TPM images using fslview? 

This brings me to the next question. What is the procedure to see if the normalization step has worked correctly? How do I verify it, or in other words, perform quality control on the normalization results? I understand that the normalization is the one step that would break the most, and I just want to ensure that I'm doing this correctly. I would greatly appreciate any response. Thank you. 

Best,

- Lisa