Conference proceeding
Analysis of a new method for consistent large-deformation elastic image registration
Proceedings of SPIE, Vol.4684(1), pp.945-954
Medical Imaging 2002: Image Processing
05/15/2002
DOI: 10.1117/12.467047
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.
Details
- Title: Subtitle
- Analysis of a new method for consistent large-deformation elastic image registration
- Creators
- Jaincun He - University of IowaGary E Christensen - University of IowaJay T Rubenstein - University of IowaGe Wang - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.4684(1), pp.945-954
- Conference
- Medical Imaging 2002: Image Processing
- DOI
- 10.1117/12.467047
- ISSN
- 0277-786X
- Language
- English
- Date published
- 05/15/2002
- Academic Unit
- Electrical and Computer Engineering; Radiation Oncology; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center
- Record Identifier
- 9984197062402771
Metrics
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