[Insight-users] Segmentation of CT data

[Lodron, Gerald]

Hi

I do not want to segment heart, lung etc seperately, i want to segment human vs background/patient table, especially for CT head data.

I don't think that this is a so special problem, in my opinion every time you want to register a ct data set you need such a segmentation for excluding background so i think this a very common task. I already wrote a segmentation algorithm based on the itk region grower with seed points in the image center but i get sometimes problems with the patient table (and i want it 100% automatic) so before i make complicated algorithms i want to first ask the community.

best regards
________________________________
Von: insight-users-bounces at itk.org [mailto:insight-users-bounces at itk.org] Im Auftrag von Jon Haitz Legarreta Gorroño
Gesendet: Mittwoch, 6. April 2011 10:48
An: insight-users at itk.org
Betreff: Re: [Insight-users] Segmentation of CT data


Dear Gerald,
the segmentation problem is highly specific and depends on the tissue you wish to segment. If you want to segment every organ/tissue in a CT dataset, I would dare to say that you will need to look for the most suitable algorithm for each of them.
The ITK Software Guide presents an interesting range of segmentation algorithms that you can use your starting point.

So there is not a one-for-all, all-purpose algorithm. Segmenting all tissues you may have in a certain volume can be hard work.

That said, I haven't had the opportunity to approach the patient-table removal problem. But if your requirements allow for some user interaction, you can imagine the user selecting a volumen of interest that excludes the table (may be too optimistic), or the user picking some seed points on the tissues you want to segment and the developping some of your algorithms around these points (this would be a typical starting point for the region growing algorithm you used). Granting the user some control when overflows occur could also be helpful.
That way, in principle, you could avoid the problem. But I agree that it may not be that easy.

Best regards,
JON HAITZ




El 05/04/2011 15:51, Lodron, Gerald escribió:

Hi

Is there a "state-of-the-art" segmentation filter for robust segmentation of the human body (with lung etc. without patient table) in a CT data set in ITK? I am pretty sure that I am not the first one which needs that...

If not, does anyone knows a good algorithm for that. I made one on my own with region growing but get sometimes problems with the patient table...

best regards,
Gerald


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