Hi Lia,
You have several ways to segment the region you're interested in. The
vmtklevelsetsegmentation
script enables you to use: colliding fronts, fast marching, threshold and
iso-surface.
Have a look at the following tutorial:
http://www.vmtk.org/Tutorials/ImageBasedModeling/
Perhaps additional processing will be required after the level-set
segmentation for best results.
Ido
On Fri, Mar 2, 2012 at 10:38 PM, Lia Silva <liamak...@portugalmail.pt>wrote:
> Em 01-03-2012 11:48, ido yerushalmy escreveu:
>
> Hi Lia,
> Are you using 'colliding fronts' as the initial segmentation method?
> If so, note that only regions where the fronts that are in opposite
> directions define the segmented region.
> When working on a linear segment that's fine, but when working on a
> rounded part the segmentation may be partial.
>
> Is this explanation relevant for your case?
>
> Best,
> Ido Yerushalmy
>
> On Thu, Mar 1, 2012 at 11:27 AM, Luca Antiga <luca.ant...@orobix.com>wrote:
>
>> Dear Lia,
>> I'm not sure I fully understand. Can you post an explanatory screenshot
>> on the mailing list?
>> Thanks
>>
>> Luca
>>
>>
>> On Feb 22, 2012, at 5:25 PM, Lia Silva wrote:
>>
>> Hello all!
>>
>> I have a problem with aorta segmentation. I'm using this code *
>> vmtklevelsetsegmentation -ifile image_volume_voi.vti -ofile level_sets.vti
>> *. This works perfectly if i select a small and linear volume. The
>> problem is when i try to reconstruct the aorta cross. It doesnt appear
>> fully reconstructed but half reconstructed. Can anyone help me with that?
>>
>> Thanks
>>
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>>
>> Hello! Sorry for the late answer. Yes, i was using the colliding
>> fronts. There are other alternative for that? Another question, when i
>> extract the centerline points, those measures come in what unites?
>> Milimeters, pixeis.. I couldnt find it anywhere..
>>
> Thanks in advance
>
> (btw, is this the right way to answer a post? I'm new at this)
>
>
>> ------------------------------------------------------------------------------
>> Virtualization & Cloud Management Using Capacity Planning
>> Cloud computing makes use of virtualization - but cloud computing
>> also focuses on allowing computing to be delivered as a service.
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Virtualization & Cloud Management Using Capacity Planning
Cloud computing makes use of virtualization - but cloud computing
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