3-d with resolution of 200 um along the z-axis (the data is from 200 micron thick coronal sections). I have no idea about dicom viewer.
I should note that this is aggregate data from multiple brains, so it would need to be overlayed over a generic stack of images. I was going to just do 2-d overlays on a coronal section and saggital section, but a stack of coronals would be cool if it allowed me to get some kind of perspective snapshot.
DICOM is a standardised set of imaging formats for medical imaging in 2d, 3d and 4d (and apparently 5d). A DICOM viewer can pull images from PACS, local storage, etc.
Perhaps a quick scan of the screenshots and video at
http://www.osirix-viewer.com/Snapshots.html (OSX dicom viewer) as to what you could be looking at, and then delve into the material listed from
http://en.wikipedia.org/wiki/DICOMMy understanding is that you can build your representation in a format that can be applied over another image or combined then imported and viewed. I'm not entirely certain as to what the initial representation formats can be, if it is something simple and can be programatically built in a 3d toolset such as Blender3D. Once imported it can be treated as any 3d object, and if needed can be seen in time (an example of this would be a false colour beating heart.)
As I don't have a medical background, and have only really looked into this as a "what 3d tools can be used in healthcare" on an android phone, I don't know whether I can contribute much more. I primarily suggested it as you might be able to go back to original source for the images as they would be the original export or at least first intermediate format, particularly as you said that you were warping the data image somehow.
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