hi jim after thinking about it a bit more , i believe the multivariate metric might be usable for a congealing like method:
http://review.source.kitware.com/#/c/4807/ http://vis-www.cs.umass.edu/papers/congeal_3D.pdf or the same thing could be done with itkObjectToObjectMultiMetricv4 it would still require a registration method, though. what would happen in that method would be ( loosely speaking ) * loop over all images * for the j^th image, add all other i images ( i != j ) to the Multi-Metric such that you can compute \sum_i Metric( image_i = fixed , image_j = moving , T_j ) which will drive image_j to the group space * store the gradient of T_j * update all transformations, check convergence, start again anyway, just a thought. most of the work would be in writing the CongealingRegistrationMethod and it would be there that you decide what the optimization domain would be and similar details. brian
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