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In the previous section, we described how the results of a non-rigid registration algorithm can be used to build a generative statistical model of image appearance. In this section, we present our method for quantitatively assessing the quality of the model built from the registered data, hence for evaluating the quality of the non-rigid registration algorithm from which this model was derived. We also investigate several of the possible choices for model evaluation, the aim being to find one which is both robust, and gives the greatest sensitivity.