Dear Miguel,
 indeed this is weird. Can you run the model through a cleaner and a 
connectivity, this way:

vmtksurfacetriangle -ifile yoursurface.vtp --pipe vmtksurfaceconnectivity 
-ofile yoursurface_c.vtp

and then run the algorithm on it? If all else fails, can you make the model 
available to me for a 
quick test?

BTW, cool work

Luca


On Nov 30, 2012, at 3:23 PM, Bernabeu Llinares, Miguel wrote:

> Dear VMTK users,
> 
> I continued working on the project I described in my e-mail on 30 Sep 2012 
> (see below). Following Arjan's advice I managed to get vmtkcenterlinemodeller 
> to accurately resolve the vascular network.
> 
> I'm currently processing a new image I obtained from my experimental 
> collaborators and the same workflow I used in the past is failing at the 
> vmtknetworkextraction step. I'm attaching two Paraview snapshots: one with 
> the surface mesh from which I'm trying to obtain centrelines and a second one 
> with the output generated by vmtknetworkextraction.
> 
> I guess there's some singularity in the surface mesh that is making the 
> vmtknetworkextraction algorithm fail (given that it has worked in the past 
> for similar models). I'm unfortunately pretty clueless about what might be 
> the culprit. Note that I've tried opening the surface mesh at the different 
> points to no improvement.
> 
> Any help would be greatly appreciated!
> 
> Best wishes,
> Miguel
> 
> <network.png>
> <centrelines.png>
> 
> On 30 Sep 2012, at 13:03, Arjan Geers wrote:
> 
>> Dear Miguel, 
>> 
>> It seems that the output image of vmtkcenterlinemodeller doesn't resolve all 
>> the details of the vascular network. You can improve the resolution of this 
>> image by changing the 'dimensions' parameter. Example with default values:
>>  
>> vmtkcenterlinemodeller -ifile surface_decimated095_clipped_centerlines.vtp 
>> -radiusarray Radius -dimensions 64 64 64 --pipe vmtkmarchingcubes -ofile 
>> surface_decimated095_clipped_centerlines_tubed.vtp
>> 
>> Since the centerlines lie in the xy-plane, you'll probably need less voxels 
>> in the z-direction.
>> 
>> Hope this helps, 
>> 
>> Arjan
>> 
>> On Sun, Sep 30, 2012 at 11:18 AM, Bernabeu Llinares, Miguel 
>> <miguel.berna...@ucl.ac.uk> wrote:
>> Dear VMTK users,
>> 
>> I'm using VTMK 1.0.0 to generate a 3D surface mesh from a single 2D image of 
>> a complex vascular network. A similar application was previously discussed 
>> in the mailing list:
>> 
>> http://sourceforge.net/mailarchive/forum.php?thread_name=6DEB2248-5927-48CC-AB2F-E24662DF4A05%40orobix.com&forum_name=vmtk-users
>> 
>> I followed Luca's advice of replicating the image to generate a volume. From 
>> then, I used a combination of marching cubes and vmtknetworkextraction to 
>> obtain the centrelines of the model and its associated maximum inscribed 
>> sphere radius. What I would like to do next is to use vmtkcenterlinemodeller 
>> and marching cubes to fit tubes around the centrelines to obtain a network 
>> of cylindrical section (as opposite to the network of square ducts coming 
>> out of the first marching cubes step). Something like:
>> 
>> vmtknetworkextraction -ifile surface_decimated095_clipped.vtp -ofile 
>> surface_decimated095_clipped_centerlines.vtp
>> 
>> vmtkcenterlinemodeller -ifile surface_decimated095_clipped_centerlines.vtp 
>> -radiusarray Radius --pipe vmtkmarchingcubes -ofile 
>> surface_decimated095_clipped_centerlines_tubed.vtp
>> 
>> Unfortunately the result is not what I expected: many vessels collapsed 
>> together and the rich topology is mostly lost. Please see the two images 
>> attached with the results of the two previous commands.
>> 
>> Any input is very much appreciated!
>> 
>> Best wishes,
>> Miguel
>> 
>> 
>> <centerlines_with_radius.png>
>> 
>> <tubes_around_centerlines.png>
>> --
>> Dr Miguel O. Bernabeu
>> 2020 Science Research Fellow (http://www.2020science.net)
>> Centre for Computational Science, University College London
>> CoMPLEX, University College London
>> 
>> 
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> 
> --
> Dr Miguel O. Bernabeu
> 2020 Science Research Fellow (http://www.2020science.net)
> Centre for Computational Science, University College London
> CoMPLEX, University College London
> 
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