HI Motes,<br><br>Using the MeanSquaresMetric on the FixedImage and output<br>Resampled Moving image will satisfy your definition of <br>Quality Measure.<br><br><br> Regards,<br><br><br> Luis<br><br><br>-----------------------------------------------------------------<br>
<div class="gmail_quote">On Mon, Aug 10, 2009 at 6:23 AM, motes motes <span dir="ltr"><<a href="mailto:mort.motes@gmail.com">mort.motes@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;">
Thanks for the reference! But why not just output the value of the metric? When the registration is "perfect" the value of the metric is 0 and then grows when the quality of the registration drops.<div><div></div>
<div class="h5"><br><br><br><br>
<div class="gmail_quote">On Sat, Aug 8, 2009 at 7:22 PM, Luis Ibanez <span dir="ltr"><<a href="mailto:luis.ibanez@kitware.com" target="_blank">luis.ibanez@kitware.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 Motes,<br><br>You may find interesting the following Insight Journal paper:<br><br><a href="http://www.insight-journal.org/browse/publication/166" target="_blank">http://www.insight-journal.org/browse/publication/166</a><br>
"A Framework for Comparison and Evaluation of Nonlinear <br>
Intra-Subject Image Registration Algorithms"<br><div class="gmail_quote"><br>by<br>Urschler M., Kluckner S., Bischof H.<br><br><br><br> Regards,<br><br><br> Luis<br><br><br>-------------------------------------------------------<div>
<br>
On Mon, Aug 3, 2009 at 10:23 AM, motes motes <span dir="ltr"><<a href="mailto:mort.motes@gmail.com" target="_blank">mort.motes@gmail.com</a>></span> wrote:<br></div><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
<div><div></div><div>
Based on some of the examples from the itkSoftwareguide I have implemented a BSplineDeformable registration application. I deform the 3D brain scans :<br><br><a href="http://public.kitware.com/pub/itk/Data/BrainWeb/BrainPart1.tgz" target="_blank">http://public.kitware.com/pub/itk/Data/BrainWeb/BrainPart1.tgz</a><br>
<br>and use those as the moving image input to the registration method. One way to measure the quality of the registration is to compute the difference images. But are there some more strict way to compute a measure and then compare that measure with another implementation of the BSplineDeformable registration application?<br>
<br>I have read that some use intersections of the overlap but any other ideas or examples are most welcome!<br>
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