Consistent image registration

G.E Christensen; H.J Johnson

doi:10.1109/42.932742

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Journal article

Peer reviewed

Consistent image registration

G.E Christensen and H.J Johnson

IEEE transactions on medical imaging, Vol.20(7), pp.568-582

07/2001

DOI: 10.1109/42.932742

PMID: 11465464

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Abstract

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 X-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.

Biomedical imaging

Cities and towns

Computed tomography

Fourier series

Image registration

Magnetic materials

Magnetic resonance

Magnetic resonance imaging

Topology

X-ray imaging

Details

Title: Subtitle: Consistent image registration
Creators: G.E Christensen - University of Iowa
H.J Johnson - University of Iowa
Resource Type: Journal article
Publication Details: IEEE transactions on medical imaging, Vol.20(7), pp.568-582
DOI: 10.1109/42.932742
PMID: 11465464
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: Institute of Electrical and Electronics Engineers
Language: English
Date published: 07/2001
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Psychiatry; Radiation Oncology; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; The Iowa Initiative for Artificial Intelligence; Iowa Informatics Initiative; Holden Comprehensive Cancer Center
Record Identifier: 9984197185102771

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