<br>Hi John,<br><br>If you are looking for a way of characterizing the <br>registration method itself, then you may want to<br>consider doing the following:<br><br>1) Take an image representative of your domain.<br><br>2) Apply to it a known deformation<br>
<br>3) Use the image (1) as moving image and the <br> image (2) as fixed image<br><br>4) Compare the deformation field resulting from<br> the registration (3) with the known field that<br> you used in (2). The differences between the<br>
fields will give you an idea of the accuracy <br> of the registration.<br><br>For step (2), you may find useful the examples<br><br> Insight/Examples/Registration/<br> BSplineWarping1.cxx<br>
BSplineWarping2.cxx<br> LandmarkWarping2.cxx<br> ThinPlateSplineWarp.cxx<br> <br><br>Please be very careful of avoiding generalizations.<br>
Registration results are very dependent on the setting <br>of parameters. Whatever measure of accuracy you<br>obtain, will only be representative of that registration<br>method WITH those exact parameters. <br><br>You should therefore, repeat the entire process for <br>
a variety of parameters, and report on all the sequence.<br><br>It is a common mistake to report registration results<br>by just using a setting of parameters. This is mostly <br>seen in conferences and journals that do not enforce<br>
or encourage reproducibility (sadly most of them).<br><br><br> Regards,<br><br><br> Luis<br><br><br>----------------------------------------------------------------------<br><div class="gmail_quote">On Mon, Apr 26, 2010 at 6:30 PM, John Jan Drozd <span dir="ltr"><<a href="mailto:john.drozd@gmail.com">john.drozd@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,<br>
<br>
Is there a way to quantify the accuracy of a deformable registration? I used the diffeomorphic demons deformable registration.<br>
<br>
Thank you,<br>
John<br>
<br>
Sent from my iPhone<br>
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