Okay so the other problem with this is that I am trying to stack metrics using ObjectToObjectMultiMetricv4. Therefore the MatchCardinalityImageToImageMetric is not compatible. Maybe it helps explaining my overall idea.
I have the moving and fixed CT image. In addition to that, I have binary segmentation masks of various anatomies such as the lung for each image. I would like the registration to basically focus on both MSE between the two CTs, but also at the same time on the DICE metric between the masks I am passing and potentially even multiple masks of different anatomies, for which each DICE metric is weighted differently.
I thought that if I successfully implement a DICE metric by inheriting from ImageToImageMetricv4, that I could stack and weight the different inputs, and their corresponding similarity metrics and weights, kind of like you explained here. Is my logic off? Is there no MatchCardinalityImageToImageMetricv4? If not, are there any resources on implementing your own metric in the v4 registration?