Go here:

http://www.nitrc.org/frs/download.php/2871/GIFTI_Surface_Format.pdf

On page 36, it says:  The application of a CoordinateSystemTransformMatrix, 
places the coordinates into the system shown in the table below. All 
coordinates are in millimeters.

So sorry:  You don't get to change units.

But I know I'm not the only one scratching my head wondering why you want to do 
this.  Oh, I know the occasional temptation to lie in a volume header, to 
elicit certain software behavior.

But I've never been tempted to do it on a surface.  I've scaled surfaces for 
real (e.g., if I had to lie in a header when segmenting a smaller mammal, to 
get SureFit to do the right thing).  But not to get surfaces to behave 
properly.  So I guess I'm curious.

Because what you describe below seems to me to be the equivalent of taking 
x,y,z axes; lining out the indices and writing numbers 1/4 the size of the 
original marks; and then lining those through and writing the original marks 
down.  Which means I'm almost certainly not getting what you asked.


On Aug 24, 2012, at 1:47 AM, Colin Reveley wrote:

> Would it be possible to shrink a surface with a scaling matrix, and then 
> define the mesh as being in the same space as the original.
> 
> E.g a mesh at 1mm scaled down to eg 0.25mm and then redefined as a 1mm 
> surface?
> 
> The notion here is to generate an outer and inner pair of white matter 
> surfaces. Of course there are issues.
> 
> The general notion is to then treat these as white and pial surfaces, take 
> their mean and map white matter data using matt's method for mapping gray 
> matter data (scalar diffusion maps).
> 
> This is less nuts than it sounds in marmoset because the white matter is 
> simple topologically and in terms of gross anatomy , particularly in the 
> caudal half of the brain.
> 
> In principle there should be a mid thickness line in much of the brains white 
> matter.
> 
> With a nifti you just change the units in the header. I don't appear to see a 
> gifti equivalent.
> 
> Thanks
> 
> Colin
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