[ITK] ITK Example ShapeOpeningLabelMapFilter

[Jeanna S.]

Hi Timothee,

Thank you for replying. I will look into these methods.

Jeanna

On Wed, Aug 3, 2016 at 1:59 AM, Timothee Evain <tevain at telecom-paristech.fr>
wrote:

> 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 itkHessian3DToVesselnessMeasur
> eImageFilter)
> -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.
>
>
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