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2D image elastic registration using multiquadric functions with smoothness

Authors: Yu Zhang; Shu-xiang Li; Wufan Chen; Gui-ping Jiang; Zhe-xing Liu;

2D image elastic registration using multiquadric functions with smoothness

Abstract

Medical image elastic registration is an important subject in medical image processing. Previous work has focused how to select the corresponding landmarks manually and then use adequate interpolating for gaining the elastic transformation. However, the landmarks extraction is always prone to error, which could influence on the registration results. And localizing the landmarks manually is also difficult and time-consuming. We used Multiquadric method with smooth character, thereby , utilized a semi-automatic method to extract the landmarks .Combining these two steps, we proposed an accurate, fast and more robust registration method ,and obtained the satisfactory results.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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