期刊
IEEE TRANSACTIONS ON MEDICAL IMAGING
卷 20, 期 7, 页码 568-582出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/42.932742
关键词
correspondence; deformable templates; image registration; inverse transformation
类别
资金
- NCI NIH HHS [CA75371] Funding Source: Medline
- NIDCD NIH HHS [DC03590] Funding Source: Medline
- NINDS NIH HHS [NS35368] Funding Source: Medline
This paper presents a new method for image registration based on jointly estimating the forward and reverse transformations between two images while constraining these transforms to be inverses of one another. This approach produces a consistent set of transformations that have less pairwise registration error, i.e,, better correspondence, than traditional methods that estimate the forward and reverse transformations independently. The transformations are estimated iteratively and are restricted to preserve topology by constraining them to obey the laws of continuum mechanics. The transformations are parameterized by a Fourier series to diagonalize the covariance structure imposed by the continuum mechanics constraints and to provide a computationally efficient numerical implementation. Results using a linear elastic material constraint are presented using both magnetic resonance and ii-ray computed tomography image data. The results show that the joint estimation of a consistent set of forward and reverse transformations constrained by linear-elasticity give better registration results than using either constraint alone or none at all.
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