I will provide a set of simulated brain images obtained from the
BrainWeb simulated brain database at
http://www.bic.mni.mcgill.ca/brainweb/. One issue to examine is
how to identify major brain tissue types from an image or set of
images. Simple approaches can be based on mixture models and
classification methods. More sophisticated approaches might take
into account spatial similarity of adjacent regions. The size of
the images creates some interesting computational challenges. An
advantage of using simulated data is that the ground truth is
known. The simulator also allows some image quality parameters
to be varied, so the effects of these parameters can be examined.
The image files are about 6M compressed each and I'll probably have
around 20 of them. I can put them on a web page, upload someplace, or
bring on a USB drive -- whatever works. I'll get some R scripts ready
for some basic analyses. One package that may be useful for
visualization is misc3d.