[ITK] ITK Example ShapeOpeningLabelMapFilter

[Jeanna S.]

Actually, I found a way to display the images to the screen. However, I am
still not quite sure how to detect the blood vessels in my image. When I
apply the itkHessianToObjectnessMeasureImageFilter on my image, it just
turns out black. I was wondering if this is because there is not enough
contrast between the vessels and the background. If so, is there any
setting or threshold on the filter I can change so that it can detect the
blood vessels?

Thanks,
Jeanna

On Mon, Aug 8, 2016 at 4:37 PM, Jeanna S. <jeannasheen at gmail.com> wrote:

> Hi Timothee,
>
> I'm using the itk:HessianToObjectnessMeasureImageFilter that you
> suggested. I was wondering if there is any way for me to view the image on
> the screen after it has been run through the filter, and if you have any
> examples of the filter working on an image.
>
> Thanks,
> Jeanna
>
> On Sun, Aug 7, 2016 at 4:13 PM, Jeanna S. <jeannasheen at gmail.com> wrote:
>
>> 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
>>> 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
>>>
>>
>>
>>
>> --
>> when the rich wage war, it's the poor who die
>>
>
>
>
> --
> when the rich wage war, it's the poor who die
>



-- 
when the rich wage war, it's the poor who die
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