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9 May 2002 Analysis of a new method for consistent large-deformation elastic image registration
Jaincun He, Gary E. Christensen, Jay T. Rubenstein, Ge Wang
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Proceedings Volume 4684, Medical Imaging 2002: Image Processing; (2002) https://doi.org/10.1117/12.467047
Event: Medical Imaging 2002, 2002, San Diego, California, United States
Abstract
This paper provides initial analysis of a new consistent, large-deformation elastic image registration (CLEIR) algorithm that jointly estimates a consistent set of forward and reverse transformations between two images. The estimated transformations are able to accommodate large deformations while constraining the forward and reverse transformations to be inverses of one another. The algorithm assumes that the two N-dimensional images to be registered contain topologically similar objects and were collected using the same imaging modality. The image registration problem is formulated in a (N+1)-dimensional space where the additional dimension is referred to as the temporal or time dimension. A periodic-in-time, nonlinear, (N+1)-dimensional transformation is estimated that deforms one image into the shape of the other and back again. Large deformations from one image to the other are accommodated by concatenating the small-deformation incremental transformations from one time instant to the next. An inverse consistency constraint is placed on the incremental transformations to enforce within a specified tolerance that the forward and reverse transformations between the two images are inverses of each other. The feasibility of the algorithm for accommodating nonlinear deformations was demonstrated using 2D synthesized phantom images and CT inner ear images. The effect of varying the number of intermediate templates was studied for these data sets.
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Jaincun He, Gary E. Christensen, Jay T. Rubenstein, and Ge Wang "Analysis of a new method for consistent large-deformation elastic image registration", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467047
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KEYWORDS
Ear
Image registration
Computed tomography
Image analysis
Tolerancing
Germanium
Image processing
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