Hello,<br><br>I am trying to develop a Model Based Registration Method, and I started using the example mentioned by the Itk Software Guide and included in the 3.6 version of Insight: ***ModelToImageRegistration1.cxx***. I have been trying to adapt the example to work with my data: 3D Images. Achieving that was not a big deal, but I started to struggle when I wanted the Transform to be an itkAffineTransform, which includes a scale change. The example explicitly says that the SimpleImageToSpatialObjectMetric is designed considering no scale changes, and it says it right, because the metric doesn't work as I required. (It does work as expected, though).<br>
<br>So my main problem now is finding a way to define a metric that maximizes both the ****number of Spatial Object Points inside the Image**** and the ****Spatial Object Volume****. The first one is easy, as it is exactly what the above mentioned example does, but I haven't found a way to compute the Transformed SpatialObject Volume.<br>
<br>And that's why I ask you if any of you have found a similar problem and how did you solve it. Also, if any of you know a not-as-simple metric which I could use.<br><br>Thank you in advance, <br><br>PS: The explanation migh be very blurry, so if you don't undersrtand anything of it, please, just ask. I'd rather repeat things in a different way, or attach images to not having help at all ;)<br>
<br clear="all">Antonio Foncubierta<br>