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The method detects the loss of registration accuracy as the alignment of a set of correctly registered MR images of the brain is progressively perturbed. We compare the sensitivities of several approaches and show that, as well as requiring no ground truth, specificity provides the most sensitive measure of misregistration.

Lastly, we use the model-based assess method to demonstrate that groupwise registration is better than its pairwise counterpart.

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