Conference proceeding
Minimizing sources of errors in medical image registration
Proceedings IEEE International Symposium on Biomedical Imaging, Vol.2002-, pp.14-17
2002
DOI: 10.1109/ISBI.2002.1029181
Abstract
This paper compares the image registration errors associated with traditional unidirectional registration algorithms to the newer inverse consistent image registration algorithms. Inverse consistent registration algorithms jointly estimate the forward and reverse transformation between two images while minimizing the inverse consistency error between these transformations. Unidirectional algorithms estimate the forward and the reverse transformations independently. It is also shown that combining landmark and intensity information produces better registration results than using either type of information independently. In addition to examining the inverse consistency error, the transitivity error associated with each type of registration algorithm is examined. Transitivity of the transformations was evaluated by measuring the difference between the identity mapping and the composition the transformations from image A-to-B, B-to-C, and C-to-A. In all cases, the inverse consistent algorithms out performed the unidirectional algorithms by producing transformations that have less inverse consistency error and less transitivity error.
Details
- Title: Subtitle
- Minimizing sources of errors in medical image registration
- Creators
- G.E Christensen - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings IEEE International Symposium on Biomedical Imaging, Vol.2002-, pp.14-17
- Publisher
- IEEE
- DOI
- 10.1109/ISBI.2002.1029181
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Language
- English
- Date published
- 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
- 9984197430602771
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