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Dear Gerald,<br>
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.<br>
The ITK Software Guide presents an interesting range of segmentation
algorithms that you can use your starting point.<br>
<br>
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.<br>
<br>
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. <br>
That way, in principle, you could avoid the problem. But I agree
that it may not be that easy.<br>
<br>
Best regards,<br>
JON HAITZ<br>
<br>
<br>
<br>
<br>
El 05/04/2011 15:51, Lodron, Gerald escribió:
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<div><span class="981144813-05042011">Hi</span></div>
<div><span class="981144813-05042011"></span> </div>
<div><span class="981144813-05042011">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...</span></div>
<div><span class="981144813-05042011"></span> </div>
<div><span class="981144813-05042011">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...</span></div>
<div><span class="981144813-05042011"></span> </div>
<div><span class="981144813-05042011">best regards,</span></div>
<div><span class="981144813-05042011">Gerald</span></div>
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