[Insight-users] A couple of questions about level sets

[Luis Ibanez]

Hi Zach,


The best way of taking advantage of the Level Set framework is to
create your new LevelSet filter as a derived class of the

                SegmentationLevelSetImageFilter


as you described in your numeral (a).

By doing this, you reduce your effort to simply implementing the
PDE of your LevelSet formulation in to a class deriving from the
SegmentationLevelSetFunction.


The rest of the LevelSet functionality is inherited directly.


Please let us know if you find any difficulty with your
implementation.



      Thanks



         Luis



-----------------------
Zachary Pincus wrote:
> Hello all,
> 
> I'm still trying to figure out the "best practices" for implementing a 
> level-set based segmentation system with ITK. I asked a couple of 
> questions a few weeks ago, but they probably got lost in the shuffle 
> with the 2.0 release and whatnot.
> 
> Anyhow, I've been wondering about the recommended way of creating a 
> level set method that uses "custom" speed and edge advection images. It 
> seems that one could either:
> 
> (a) create a subclass of SegmentationLevelSetImageFilter and 
> SegmentationLevelSetFunction, where these subclasses create the custom 
> speed and advection images by re-implementing GetSpeedImage(), etc. This 
> is how the various methods like Curves or Shape Detection are 
> implemented in ITK.
> 
> (b) create a SegmentationLevelSetImageFilter object (or an object of 
> some particular subclass thereof) and then set custom advection and 
> speed imaged with that class's methods for this purpose.
> 
> Are these approaches functionally equivalent? Are there caveats with one 
> or the other?
> 
> Thanks,
> 
> Zach Pincus
> 
> Department of Biochemistry and Program in Biomedical Informatics
> Stanford University School of Medicine
> 
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