Yeah, I thought of passing that image into FAST. However, I am using ANALYZE
to manually trace the lesions on a T2 image that is registered on a T1
image. So the image that I have is a transformed image on which lesions can
be easily identified.
I am not sure if this technique would work, so instead of passing the
transformed image into fast, I was thinking of creating a binary map of
that image with lesions having a value of zero and multiplying that with the
*_seg.hdr image that fast generates and then segmenting that into gray,
white and csf. However, I am not sure, first if this would be a valid
approach and secondly, since fast generates the *_seg.hdr image and the
partial volume estimates together, how could I modify it (fast) in a way
that it would let me use a modified version of the *_seg.hdr image?
Hope this makes sense. Thanks!
-Ruchika.
On Feb 16, 2008, at 11:57 PM, Steve Smith wrote:
Hi - sure, you can do that - you can just use fslmaths to zero those voxels
before passing the image into FAST.
Cheers.
On 16 Feb 2008, at 22:15, Ruchika Wadhwa wrote:
Hi,
I was wondering if I have a binary mask for each subject with the lesions
manually traced, could I then use it as a weighted image (in FAST) in order
to mask out the areas that are classified as lesions and then estimate gray
and white matter volumes?
Thanks,
-Ruchika.
|