We have contributed an efficient, object-oriented implementation of 3D nonlinear transformations to the Visualization Toolkit that can be applied to a wide variety of data types, including images and polygonal meshes. The transformations are performed via thin-plate splines or via interpolation of a regular lattice of displacement vectors, and are part of a framework that is easily extensible to other nonlinear transformation types. In this paper we demonstrate application of these transformations in medical imaging in general and image-guided surgery in particular, and present a series of performance benchmarks.
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| http://dx.doi.org/10.1016/s0895-6111(02)00091-5 | DOI Listing |
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