NDLI: Interpolation Artefact Reduction by Statistical Approach in Mutual Information-based Image Registration

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Interpolation Artefact Reduction by Statistical Approach in Mutual Information-based Image Registration

Content Provider	Semantic Scholar
Author	Su, Hongjiang Murtaghb, Fionn
Copyright Year	2005
Abstract	Mutual information-based image registration has been verified to be quite effective in many clinical applications. However, when calculating the mutual information between two working images, we need to estimate the grey values of the transformed image by interpolation on the reference image, which introduces regular artefacts in the registration function. In this paper, we analyse the underling mechanism of the artefacts, and present a new statistical interpolation, which will not introduce new intensities. In addition, it also breaks the conformity of the interpolation points, which is considered as a major contributing factor to the artefacts in commonly used interpolations. These characteristics make the registration function much smoother, enabling easier convergence to a global extreme. Experimental results on clinical images verify these advantages.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.ecit.qub.ac.uk/Research/SpeechVisionSystems/DocumentDownloads/Filetoupload,315522,en.pdf
Alternate Webpage(s)	http://www.ecit.qub.ac.uk/ResearchDevelopment/Imageandvisionsystems/DocumentDownloads/Filetoupload,25999,en.pdf
Language	English
Access Restriction	Open
Subject Keyword	Conformity Contribution Convergence (action) Image registration Interpolation Imputation Technique Morphologic artifacts Mutual information registration - ActClass
Content Type	Text
Resource Type	Article

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