Share Email Print
cover

Proceedings Paper

Analysis of a new method for consistent large-deformation elastic image registration
Author(s): Jaincun He; Gary E. Christensen; Jay T. Rubenstein; Ge Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 9 May 2002
PDF: 10 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467047
Show Author Affiliations
Jaincun He, Univ. of Iowa (United States)
Gary E. Christensen, Univ. of Iowa (United States)
Jay T. Rubenstein, Univ. of Iowa (United States)
Ge Wang, Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

© SPIE. Terms of Use
Back to Top