Effective and Efficient Interpolation for Mutual Information Based Multimodality Elastic Image Registration
Abstract
Mutual information (MI) is a popular similarity metric for multimodality image registration purpose. However, it is negatively influenced by artifacts due to interpolation effects. As a result, registration algorithms performance could be affected. In this paper a novel interpolation scheme is presented. It is both effective and efficient. Effective because it limits the presence of local maxima in the mutual information curve, efficient because it is simple to compute being based on simple and optimized distance measures. The method is validated and compared against other techniques both from performance and time complexity persepectives. Differently from other reference works, which perform tests using rigid transformations, method performance was measured using non-rigid parametric transformation. Experimental results show that the proposed scheme represents a good tradeoff between performance and computing requirements, making it suitable for actual elastic image registration purposes.
Cite
Text
Ardizzone et al. "Effective and Efficient Interpolation for Mutual Information Based Multimodality Elastic Image Registration." IEEE/CVF International Conference on Computer Vision Workshops, 2009. doi:10.1109/ICCVW.2009.5457677Markdown
[Ardizzone et al. "Effective and Efficient Interpolation for Mutual Information Based Multimodality Elastic Image Registration." IEEE/CVF International Conference on Computer Vision Workshops, 2009.](https://mlanthology.org/iccvw/2009/ardizzone2009iccvw-effective/) doi:10.1109/ICCVW.2009.5457677BibTeX
@inproceedings{ardizzone2009iccvw-effective,
title = {{Effective and Efficient Interpolation for Mutual Information Based Multimodality Elastic Image Registration}},
author = {Ardizzone, Edoardo and Gallea, Roberto and Gambino, Orazio and Pirrone, Roberto},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
year = {2009},
pages = {376-381},
doi = {10.1109/ICCVW.2009.5457677},
url = {https://mlanthology.org/iccvw/2009/ardizzone2009iccvw-effective/}
}