A View-Based Approach to Registration: Theory and Application to Vascular Image Registration.

A View-Based Approach to Registration: Theory and Application to Vascular Image Registration. Charles V. Stewart Chia-Ling Tsai Amitha Perera This paper presents an approach to registration centered on the notion of a view. A combination of an image resolution, a transformation model, an image region over which the model currently applies, and a set of image primitives from this region. The registration process is divided into three stages: initialization, automatic view generation, and estimation. For a given initial estimate, the latter two alternate until convergence; several initial estimates may be explored. The estimation process uses a novel generalization of the Iterative Closest Point (ICP) technique that simultaneously considers multiple correspondences for each point. View-based registration is applied successfully to alignment of vascular and neuronal images in 2-d and 3-d using similarity, affine, and quadratic transformations. Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY cs-03-01

A View-Based Approach to Registration: Theory and Application to Vascular Image Registration.

Charles V. Stewart

Chia-Ling Tsai

Amitha Perera

This paper presents an approach to registration centered on the notion of a view. A combination of an image resolution, a transformation model, an image region over which the model currently applies, and a set of image primitives from this region. The registration process is divided into three stages: initialization, automatic view generation, and estimation. For a given initial estimate, the latter two alternate until convergence; several initial estimates may be explored. The estimation process uses a novel generalization of the Iterative Closest Point (ICP) technique that simultaneously considers multiple correspondences for each point. View-based registration is applied successfully to alignment of vascular and neuronal images in 2-d and 3-d using similarity, affine, and quadratic transformations.

Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY

cs-03-01