Alex, 

If the partial hemisphere originated from a SureFit-based segmentation, then 
the preferred solution would be to capitalize on an existing process for 
extending the cut face portion of the segmentation.  

In your case, it looks like you used a different method for generating the 
surface, so the above suggestion is moot.

If you can get the perimeter of the map to project to the plane without folding 
over on itself, then you may be able to proceed with successful flattening even 
if the initial flat map has internal folds.  This can be difficult for highly 
convoluted surfaces but might work out because yours has only the one S-shaped 
fold.  

There is no sure-fire formula for doing this, because a lot depends on the 
idiosyncratic nature of the folds you are dealing with.  If, after giving it a 
try, you are not successful, you might try uploading the relevant spec file.  
One of us might be able to give it a try and have better luck.

http://brainmap.wustl.edu/cgi-bin/upload.cgi
login pub
pwd download

David VE


On Dec 6, 2009, at 11:44 AM, Alex Artaki wrote:

> Hello,
> 
> I am quite new to Caret. In short, I wish to produce a flat representation of 
> a single fold of Macaque visual cortex which includes the postlunate gyrus 
> and lunate sulcus. Cross-sections of the comprising contours are S-shaped 
> (the fiducial surface closely resembles a sheet of paper tightly curled into 
> an S). I am attaching a screen shot for further clarification. My difficulty 
> arises in the initial inflation step, where during the inflation towards a 
> sphere, the tighter curve of the S folds onto itself. I am attaching an image 
> of this as well. The geometry of my surface doesn't seem amenable to 
> flattening with the intermediate spherical method. I would love to simply 
> take both ends and stretch it out. Are there alternative ways to the 
> flattening tutorial (or is there something I've missed) to obtain a flat 
> surface from my S-shaped surface? I would appreciate any help, suggestions, 
> and direction. Thank you very much.
> 
> Alex
> 
> -- 
> Alexander Artaki
> Johns Hopkins University
> Department of Neuroscience
> Zanvyl-Kreiger Mind Brain Institute
> 
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