[ITK] ITK Example ShapeOpeningLabelMapFilter

[Timothee Evain]

Hello Jeanna,

I think this will be difficult just with the LabelMap framework.
Usually to filter vessels you rely on some measures based on their shape, but in the ShapeLabelObject, the elongation measure is "the ratio of the longest physical size of the region [i.e. the bounding box] on one dimension and its smallest physical size". This is a quite coarse measure, sensitive to rotation, and I doubt it will be useful in your case. 
Aside from the attribute problem, you also have to detect the vessels prior to filtering them (i.e. getting a binary or a label image of vessels), and the LabelMap framework doesn't do that.

I would suggest taking a look at these other methods:
-Frangi's vesselness (implemented in itk through these filter : itkHessianToObjectnessMeasureImageFilter or itkHessian3DToVesselnessMeasureImageFilter)
-Ranking Orientation Responses of Path Openings, aka RORPO (http://path-openings.github.io/RORPO/)
-Fast Marching (itkFastMarchingImageFilter)

HTH,

Tim

----- Mail original -----
De: "Jeanna S." <jeannasheen at gmail.com>
À: community at itk.org
Envoyé: Mercredi 3 Août 2016 03:08:42
Objet: [ITK] ITK Example ShapeOpeningLabelMapFilter

Hello, 

I am trying to process the attached image using the ShapeOpeningLabelMapFilter for the Insight Toolkit . The image is of a retina, and I want to use the image filter to remove the blood vessels from the picture (the blood vessels are the long, skinny, branching lines). I was wondering if the example code for the ShapeOpeningLabelMapFilter ( here ) would be able to do this with a little modification, and if so, which attribute would be the most useful to identify and remove the blood vessels. 

Thanks in advance. 


_______________________________________________
Community mailing list
Community at itk.org
http://public.kitware.com/mailman/listinfo/community