[Insight-users] Segmentation-Surface Reconstruction- Questions

[Karthik Krishnan]

If your purpose is to produce a smooth mesh / contour from a binary 
segmentation, you could in principle do this both on the image domain 
and on the mesh domain.

1. Apply the Anti-alias filter in ITK and then run marching cubes on 
it.  The anti-aliasing filter will smooth jagged edges, by introducing 
some continuity. So the output of your marching cubes won't look jagged.

2. Do some polygon anti-aliasing on the mesh. You will have to go to VTK 
for that.

HTH
-karthik

platon galatis wrote:

> Hello,
>
> Im  a mechanical engineer and my diploma thesis subject is about 
> segmenting a series of human 2D ct scans, in order to produce a 3D 
> surface mesh suitable to be exported to CAD-CAE systems for FEA.
>
> Im trying to conclude on my strategy but i have some questions.
>
> I've read a lot about Marching cubes,Marching tetrahedra and their 
> variations. All these algorithms speak for values at nodes of a 
> regular 3D grid. But what if the input images are binary (black/white) 
> as a result of a segmentation algorithm from itk?
>
> If i said that out = 1 ,in=-1 and the boundary=0 then the linear 
> interpolation would always give the middle of the intersected  edge. 
> Am i mising something here?
>
> Can i get results giving as input a thresholded set and by specifying 
> the isocontour value as the mean value of a set of  points sampled 
> from the desired boundary (skipping segmentation)?
>
> I've found the Deformable models method interesting . Would it be a 
> good practice to produce a binary 3D image with some segmentation 
> method, pass it to the itk::BinaryMask3DMeshSource for a rough initial 
> mesh and then use the itk::DeformableMeshFilter to refine it?
>
>
>
> Thank you for reading this.
>
> Any help would be appreciated.
>
> Sincerely,
>
> Plato Galatis.
>
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