This paper provides a comprehensive and quantitative review of spatial transformations
models for nonrigid image registration. It explains the theoretical foundation of the models …

This paper reviews recent developments by the Washington/Brown groups for the study of
anatomical shape in the emerging new discipline of computational anatomy. Parametric …

This paper examine the Euler-Lagrange equations for the solution of the large deformation
diffeomorphic metric mapping problem studied in Dupuis et al.(1998) and Trouvé (1995) in …

We describe a comprehensive framework for performing rapid and automatic nonlabel‐
based nonlinear spatial normalizations. The approach adopted minimizes the residual …

Based on the author's lecture notes and research, this well-illustrated and comprehensive
text is one of the first to provide an introduction to image registration with particular emphasis …

The theory of large deviations is concerned with various approximations involving rare
events. It is also concerned with characterizing the circumstances that lead to a given rare …

This book really shows how registration works: the flip-book appearing at the top right
corners shows a registration of a human knee from bent to straight position (keeping bones …

This paper studies mathematical methods in the emerging new discipline of Computational
Anatomy. Herein we formalize the Brown/Washington University model of anatomy following …

This paper studies a variational formulation of the image matching problem. We consider a
scenario in which a canonical representative image T is to be carried via a smooth change …

In this paper hierarchical non-linear image registration is classified into three main groups,
where the registration at successive levels in the hierarchy increases in data complexity …