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

Hongjiang Su, Paul C. Miller, Fionn Murtagh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationOpto-Ireland 2005
Subtitle of host publicationImaging and Vision
EditorsFionn D. Murtagh
Number of pages9
ISBN (Print)9780819458087, 0819458082
Publication statusPublished - 1 Jun 2005
Externally publishedYes
EventOpto-Ireland 2005 - Dublin, Ireland
Duration: 4 Apr 20056 Apr 2005

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceOpto-Ireland 2005
OtherImaging and Vision
Internet address


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