Estimating diffeomorphic mappings between templates and noisy data: Variance bounds on the estimated canonical volume form
D. J. Tward, P. P. Mitra, and M. I. Miller, in Quarterly of applied mathematics
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We derived the Cramer Rau bound for estimating volume changes from deformable image registration, which is a lower bound on the variance of an estimator. We demonstrated its implications for image registration performance in asymmetric methods versus symmetric methods, the former generally performing better.