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Medical Image Registration Algorithm Based on Bounded Generalized Gaussian Mixture Model
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DOI：10.3389/fnins.2022.911957.png)
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摘要
En 中文
In this paper, a method for medical image registration based on the bounded generalized Gaussian mixture model is proposed. The bounded generalized Gaussian mixture model is used to approach the joint intensity of source medical images. The mixture model is formulated based on a maximum likelihood framework, and is solved by an expectation-maximization algorithm. The registration performance of the proposed approach on different medical images is verified through extensive computer simulations. Empirical findings confirm that the proposed approach is significantly better than other conventional ones.
Keyword:
medical image registration
gray-level-based registration
multimodal
Gaussian mixture model
bounded generalized Gaussian mixture model
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期刊
IF:
3.2
论文数:
1.6W
被引数:
5.3W
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