<div dir="ltr">Nookie,<div><br></div><div>In addition to the method that Andras suggested,</div><div><br></div><div>an alternative could be to rasterize your current 2D contours, to reconstruct a 3D binary mask image,</div>
<div>and then use the itkBinaryMask3DMeshSource.h to extract the surface of the whole 3D structure.</div><div>That will produce a Mesh that you can then transform to the target space.</div><div><br></div><div> HTH</div><div>
<br></div><div> Luis</div><div><br></div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Mon, Jan 13, 2014 at 7:09 AM, nookie <span dir="ltr"><<a href="mailto:limpforlife@aol.com" target="_blank">limpforlife@aol.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi Luis,<br>
<br>
Thanks for the answer.<br>
<br>
But unfortunately I think that doesn't solve my problem because of what you<br>
mentioned in the end.<br>
<br>
I have the coordinates of the contour vertices (in patient space) for each<br>
slice in my planning CT and the 3D deformation field achieved with a bSpline<br>
registration (outside ITK) between the planning CT and a CBCT.<br>
If I would simply map my contour points they will migrate out of plane in<br>
most cases and therefore I could not reconstruct the contours in each slice<br>
of my CBCT.<br>
That's why I think I need to build a mesh first and then segment the 2D<br>
contours for each slice in the CBCT after mapping the whole surface.<br>
<br>
Do you have any idea how to do that the best way with the ITK functionality?<br>
<br>
Thanks!<br>
<br>
<br>
<br>
--<br>
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