Abstract
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.
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Stewart, C.V., Tsai, CL., Perera, A. (2003). A View-Based Approach to Registration: Theory and Application to Vascular Image Registration. In: Taylor, C., Noble, J.A. (eds) Information Processing in Medical Imaging. IPMI 2003. Lecture Notes in Computer Science, vol 2732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45087-0_40
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DOI: https://doi.org/10.1007/978-3-540-45087-0_40
Publisher Name: Springer, Berlin, Heidelberg
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