Bryn:<br><br>I don't think that is true. The Reinitialize level set filter simply relies on the fast marching filter to generate the signed distance function. The fastmarching filter does take voxel anisotropicity into account when marching the level set front.<br>
<br>See the lines involving the update equation in itkFastMarchingImageFilter.h <br><br> const int axis = node.GetAxis();<br> const double spaceFactor = vnl_math_sqr( 1.0 / spacing[axis] );<br> const double value = double(node.GetValue());<br>
aa += spaceFactor;<br> bb += value * spaceFactor;<br> cc += vnl_math_sqr( value ) * spaceFactor;<br><br><br><div class="gmail_quote">On Fri, Mar 6, 2009 at 8:06 AM, Bryn Lloyd <span dir="ltr"><<a href="mailto:blloyd@vision.ee.ethz.ch">blloyd@vision.ee.ethz.ch</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 all,<br>
<br>
Do I understand correctly that the ReinitializeLevelSetImageFilter does not use the spacing of the input image?<br>
<br>
If yes, I guess I need to resample the input image, in order to be isotropic AND scale the results in order to have Euclidean distances. Right?<br>
<br>
Thanks<br>
Bryn<br>
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