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<P><FONT SIZE=2 FACE="Arial">Hi Luis, hi everyone,</FONT>
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<P><FONT SIZE=2 FACE="Arial">I am trying to smooth 3D image volumes of size 256 * 256 * 22 pixels, in which each pixel contains a 3 dimensional itk::CovariantVector. The vector components should be smoothed independently over the whole volume. My current solution is to first copy the 3 vector components in each pixel into 3 separate images with pixel type float, then use the itk::RecursiveGaussianImageFilter for smoothing on all 3 images, and finally copy the pixel values of the smoothed images back into the covariant vector image. </FONT></P>
<P><FONT SIZE=2 FACE="Arial">My problem is that this procedure takes about one second. As a part of a registration program, this leads to extremely slow registration (about 10 minutes for one 256*256*22 dicom volume). Is there a way to use less memory by avoiding the copying, or do you know a different, faster technique of applying a Gaussian filter? </FONT></P>
<P><FONT SIZE=2 FACE="Arial">Thanks a lot,</FONT>
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<P><FONT SIZE=2 FACE="Arial">Andreas </FONT>
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