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A Hybrid Algorithm for Medical Image Registration

Authors: Sabalan, Daneshvar; Hassan, Ghassemian;

A Hybrid Algorithm for Medical Image Registration

Abstract

Registration is a process to align different acquired images of the same subject. A major problem in this field is to register images captured by different imaging systems. These images have different gray values so simple methods like correlation are not applicable. In this paper automated registration of CT and MR head images is studied. It is assumed that images are only of relative translation and rotation. The proposed method includes two stages. First, feature extraction of CT and MR images, (should be extractable and constant in both imaging systems). Second, feature alignment which is moment-based. The results confirm the accuracy and robustness of the proposed method.

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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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