[Insight-users] how to use the new segmentation methods?
Luis Ibanez
luis.ibanez at kitware.com
Sun Mar 30 13:11:27 EDT 2008
Hi Orientation f
1) Being "old" is not necessarily bad.
Algorithms do not have expiration dates. :-)
2) I haven't seen many algorithms getting "embarrassed",
this tend to be a rather exclusive human emotion.
Have you found a particular instance of a segmentation
problem where you are having difficulty obtaining results
with existing ITK segmentation methods ?
If so, could you please share with us the specifics of this
segmentation problem, and describe the details of the methods
that you have attempted, along with the specific parameters that
you have tested ?
We prefer to discuss issues only on technical terms, and with
enough information for reproducing the problem that you may have
encountered. Anecdotic reports with emotional overtones tend to
be rather useless, we delegate those to the realm of decadent
journals and conferences dedicated to vanity research, where
emotions such as "embarrassment" naturally belong.
The goal of ITK is not to play the childish game of "we have the
best algorithms". Instead we focus on providing implementations
of useful algorithms using sound software engineering. When new
methods become available, we are more than happy to adopt them
and include them in the toolkit, as long as they are not infected
with intellectual "property" burdens, such as undisclosed patents.
3) Does ITK gets updated ?
Yes, it gets updated through contributions
to the Insight Journal.
http://www.insight-journal.org/InsightJournalManager/index.php
These contributions are ported to the Insight/Code/Review
directory, where they are brought up to the software engineering
standards of the toolkit, and are refined to match the requirements
of our backward compatibility policy.
Details of these procedure are described in the ITK Wiki:
http://www.itk.org/Wiki/ITK_Procedure_for_Contributing_New_Classes_and_Algorithms
4) Where can you download new ITK files:
a) From the CVS repository, every day.
Recently added algorithms/classes will
be found in the Code/Review directory.
b) From the Insight Journal, where contributions include source code,
image data and the parameters required to *reproduce* results.
5) You seem to be interested in finding an open source implementation
of fast variational level set methods.
Do you have a specific method in mind ?
Maybe a specific paper in mind ?
If so, could you please let us know which one(s) ?
We will happy to contact the authors to request them to make
available their source code, so that we can port it to the
Insight Toolkit and make it available to the larger medical
image analysis community.
Please let us know,
Thanks
Luis
-----------------
orientation f wrote:
> hi,Luis Ibanez
> I use ITK for medical image segmentation. The methods provided in ITK
> are relative old, and become "embarrassed" when face complicated images.
> A lot of new segmentation method, for example, fast variational
> level-set method, are proposed in recent years. Does the ITK updated
> with the time? If it does, where can I download the new files?
> thank you very much!
> best wishes!
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