NDLI: Medical image registration by using salient phase congruency and regional mutual information

Content Provider	IEEE Xplore Digital Library
Author	Shan Zhang Zhaoying Liu Bo Liu Fugen Zhou
Copyright Year	2011
Description	Author affiliation: Image Processing Center, Beijing University of Aeronautics and Astronautics, China (Shan Zhang; Zhaoying Liu; Bo Liu; Fugen Zhou)
Abstract	We have derived a new registration method for aligning medical images using salient phase congruency and regional mutual information. The proposed method firstly extracts the salient phase congruencies of the reference and floating image; secondly, it computes the regional mutual information with the salient phase congruency mappings; finally, the geometric transform is optimized by Particle Swarm Optimization. The proposed algorithm has three features: (1) Information of both intensity and space has been taken into consideration, because regional mutual information incorporates neighborhood pixels and the phase congruency can describe the structure of an image; (2) It is invariant to contrast; (3) It is not difficult to be implemented. Experiment results show that our method has acquired a high level of accuracy and robustness compared with some other algorithms.
Starting Page	760
Ending Page	764
File Size	594096
Page Count	5
File Format	PDF
ISBN	9781424493043
e-ISBN	9781424493067
DOI	10.1109/CISP.2011.6100379
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image registration classical moment analysis Computed tomography Noise image registration regional mutual information phase congruency Feature extraction Robustness Mutual information Biomedical imaging
Content Type	Text
Resource Type	Article

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