I've though about doing this, but - as ever - it is a matter of
finding the time to do it.
Best regards,
-John
On 7 June 2013 21:33, Vincent <[log in to unmask]> wrote:
> Dear SPM users,
>
> I have a dataset with T1 and T2 weighted images for each subject that have been acquired on the same testing day.
>
> I applied imhomogeneity correction to both images, and subsequently registered the T2 to the T1 using an affine registration (12 DOF) with spline interpolation.
>
> After that, I fed the two images to the 'new segment' module; putting each modality in a separate channel. The results were pretty good (see: https://dl.dropboxusercontent.com/u/6747155/missing_cereb.png), although I am missing parts of the cerebellum.
>
> I assume this is due to the fact that for some subjects, the FOV was not including the cerebellum on the T2 weighted image, even though it was included in the T1 image for all participants.
>
> I am wondering if it is possible to adjust the behavior of 'new segment' so that it will use only information from the T1 image if no information is present in the T2 image.
> Also, please let me know if this is a bad idea in general.
>
>
> Thanks,
>
> Vincent
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