Journal article
Invertibility and transitivity analysis for nonrigid image registration
Journal of electronic imaging, Vol.12(1), pp.106-117
01/29/2003
DOI: 10.1117/1.1526494
Abstract
We present a new method for evaluating the performance of nonrigid image registration algorithms by analyzing the invertibility and transitivity properties of the transformations that they produce. The invertibility and transitivity of transformations computed using a unidirectional and a consistent linear-elastic registration algorithm are evaluated. The invertibility of the transformations is evaluated by comparing the composition of transformations from images A to B and B to A to the identity mapping. The transitivity of the transformations is evaluated by measuring the difference between the identity mapping and the composition of the transformations from images A to B, B to C, and C to A. Transformations are generated by matching three computer-generated phantoms, three computed tomography (CT) data of infant heads, and 23 magnetic resonance imaging (MRI) data of adult brains. In all cases, the inverse consistency constraint (ICC) algorithm out-performs the unidirectional algorithm by producing transformations that have less inverse consistency error and less transitivity error. For the MRI brain data, the ICC algorithm reduced the maximum inverse consistency error by 205 times, the average transitivity error by 50%, and the maximum transitivity error by 37% on average compared to the unidirectional algorithm. (C) 2003 SPIE and IST.
Details
- Title: Subtitle
- Invertibility and transitivity analysis for nonrigid image registration
- Creators
- Gary E Christensen - University of IowaHans J Johnson - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of electronic imaging, Vol.12(1), pp.106-117
- DOI
- 10.1117/1.1526494
- ISSN
- 1017-9909
- eISSN
- 1560-229X
- Language
- English
- Date published
- 01/29/2003
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiation Research Laboratory; Electrical and Computer Engineering; Psychiatry; Radiation Oncology
- Record Identifier
- 9984185470702771
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