Journal article
Consistent landmark and intensity-based image registration
IEEE transactions on medical imaging, Vol.21(5), pp.450-461
05/2002
DOI: 10.1109/TMI.2002.1009381
PMID: 12071616
Abstract
Two new consistent image registration algorithms are presented: one is based on matching corresponding landmarks and the other is based on matching both landmark and intensity information. The consistent landmark and intensity registration algorithm produces good correspondences between images near landmark locations by matching corresponding landmarks and away from landmark locations by matching the image intensities. In contrast to similar unidirectional algorithms, these new consistent algorithms jointly estimate the forward and reverse transformation between two images while minimizing the inverse consistency error-the error between the forward (reverse) transformation and the inverse of the the reverse (forward) transformation. This reduces the ambiguous correspondence between the forward and reverse transformations associated with large inverse consistency errors. In both algorithms a thin-plate spline (TPS) model is used to regularize the estimated transformations. Two-dimensional (2-D) examples are presented that show the inverse consistency error produced by the traditional unidirectional landmark TPS algorithm can be relatively large and that this error is minimized using the consistent landmark algorithm. Results using 2-D magnetic resonance imaging data are presented that demonstrate that using landmark and intensity information together produce better correspondence between medical images than using either landmarks or intensity information alone.
Details
- Title: Subtitle
- Consistent landmark and intensity-based image registration
- Creators
- H.J Johnson - University of IowaG.E Christensen - University of Iowa
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on medical imaging, Vol.21(5), pp.450-461
- DOI
- 10.1109/TMI.2002.1009381
- PMID
- 12071616
- NLM abbreviation
- IEEE Trans Med Imaging
- ISSN
- 0278-0062
- eISSN
- 1558-254X
- Publisher
- Institute of Electrical and Electronics Engineers
- Language
- English
- Date published
- 05/2002
- 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
- 9984197107202771
Metrics
23 Record Views