<br>Just to clarify,<br><br>This is a multi-threaded implementation of the Metrics used for<br>image registration.<br><br>Different people understand different things by "parallel processing".<br><br>If you are looking for a shared memory implementation that takes<br>
advantage of your multi-processor or multi-core machine. Then <br>yes, this is it.<br><br>If, on the other hand, you are looking for a distributed implementation<br>of image registration (e.g. based on MPI). We don't have such <br>
implementation in ITK.<br><br><br> Regards,<br><br><br> Luis<br><br><br>-------------------------------<br><div class="gmail_quote">On Fri, Aug 7, 2009 at 9:32 AM, Dan Mueller <span dir="ltr"><<a href="mailto:dan.muel@gmail.com">dan.muel@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">Hi Maja,<br>
<br>
You may want to look at the following paper in the Insight Journal:<br>
<a href="http://www.insight-journal.org/browse/publication/172" target="_blank">http://www.insight-journal.org/browse/publication/172</a><br>
<br>
This contribution has been included in the ITK archive. To activate,<br>
set the following (Advanced) CMake variables:<br>
ITK_USE_REVIEW=ON<br>
ITK_USE_OPTIMIZED_REGISTRATION_METHODS=ON<br>
<br>
Note that not all registration metrics have been optimized.<br>
<br>
HTH<br>
<br>
Regards, Dan<br>
<br>
2009/8/7 Maja Temerinac-Ott <<a href="mailto:temerina@informatik.uni-freiburg.de">temerina@informatik.uni-freiburg.de</a>>:<br>
<div><div></div><div class="h5">> Hello,<br>
><br>
> has parallel processing been implemented in the ITK registration?<br>
><br>
> -maja<br>
><br>
> --<br>
> --<br>
> Dipl.-Inf. Maja Temerinac-Ott<br>
> Albert-Ludwigs-Universitaet Freiburg Institut fuer Informatik<br>
> Lehrstuhl fuer Mustererkennung und Bildverarbeitung<br>
> Georges-Koehler-Allee Geb. 052<br>
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> mailto:<a href="mailto:temerina@informatik.uni-freiburg.de">temerina@informatik.uni-freiburg.de</a><br>
><br>
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