[Nipy-devel] data structures for brain surfaces

[Darren Weber]

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Consider some simple geometric data files, eg:

http://www.geomview.org/docs/oogltour.html

how would you best work with them in nipy/pbrain?  Would you read the
data into a numpy array or matrix?  Would you use OpenGL data structures
or maybe VTK data structures?

I assume that however this is done, the same process would apply for
data IO and visualization for surfaces derived from MRI segmentation and
tesellation (eg, freesurfer data, among others).

I guess my preference is to try to stay close to any c/c++ wrapping.  If
OpenGL, vtk, etc. are wrapped somehow (swig), I guess it's best to use
their functions directly.  However, the data structures involved are not
trivial and they are not necessarily portable from one package to another.

I'm wondering about how pyOpenGL and pyVTK relate to the numpy
developments.  maybe there is no dependency of pyOpenGL or pyVTK on
numpy?  Maybe they do depend on numpy, are they catching up with the new
numpy?

Take care, Darren

- --

Darren L. Weber, Ph.D.
Postdoctoral Scholar

Dynamic Neuroimaging Laboratory,
UCSF Department of Radiology,
185 Berry Street, Suite 350, Box 0946,
San Francisco, CA 94107, USA.

Tel: +1 415 353-9444
Fax: +1 415 353-9421
www: http://dnl.ucsf.edu/users/dweber
pgp: http://dnl.ucsf.edu/users/dweber/dweber_pgp.html

"To explicate the uses of the brain seems as difficult
a task as to paint the soul, of which it is commonly
said, that it understands all things but itself."
  Thomas Willis (The Anatomy of the Brain and Nerves, 1664)
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