Group actions in computational anatomy

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Group Actions in Computational Anatomy is a mathematical concept used in the field of Computational Anatomy. It is a branch of mathematics that deals with the study of transformations of anatomical shapes. The concept of group actions is used to understand and model the variability in human anatomy.

Overview[edit | edit source]

Group actions in computational anatomy are used to model the transformations of anatomical shapes. These transformations are represented by diffeomorphisms, which are smooth, invertible functions. The set of all diffeomorphisms on a manifold forms a group under the operation of composition, and this group acts on the space of anatomical shapes.

Mathematical Background[edit | edit source]

The mathematical foundation of group actions in computational anatomy is based on the theory of Lie groups and Lie algebras. A Lie group is a group that is also a differentiable manifold, with the property that the group operations are compatible with the smooth structure. Lie algebras are closely related to Lie groups and provide a powerful tool for studying their structure.

Applications[edit | edit source]

Group actions in computational anatomy have a wide range of applications in medical imaging. They are used in the analysis of MRI and CT scan images, in the study of brain development and aging, and in the construction of anatomical atlases.

See Also[edit | edit source]

References[edit | edit source]



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Contributors: Prab R. Tumpati, MD