[Insight-users] Image or Mesh to Tubes

[Luis Ibanez]

Hi Kevin,

You are right,

TubeSpatial objects can provide a natural representation for
dentrites in neurons, and it will be more efficient and meaningful
than a mesh around the surface.

You may want to get in touch with Julien Jomier and Stephen Aylward
(cc in this email). They developed most of the Spatial Objects hierarchy
in ITK, and they have been working in using the TubeSpatialObject for
representing vascular trees by doing Model-to-Image registration.

As you pointed out, the concept of children fits very naturally as
a representation of the branching partition in a tree structure.

For some background on Model-to-Image registration, you may want to
look at the final section of the Image Registration chapter in the
ITK Software Guide


       http://www.itk.org/ItkSoftwareGuide.pdf



   Regards,


      Luis


-------------------------
Kevin H. Hobbs wrote:
> I've been working with confocal images of neurons. It strikes me that
> the tube spatial object might be the best representation for the
> dendritic tree. 
> 
> Center-lines and radii seem more memory efficient than a full surface
> mesh for something that's tube-like.
> 
> The representation seems very similar to the representation in Neuron
> ( http://www.neuron.yale.edu/neuron/ ) so conversion might be possible
> allowing for simulations.
> 
> The idea of children might allow for studying the branching pattern more
> directly than does the surface mesh.
> 
> What I do not see is any way to automatically place tubes based on image
> or mesh data. Is anybody working on automatically placing tubes?
> 
> 
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