Non-rigid image registration using mutual information

Robust intensity-based non-rigid image registration and its application for image-based morphometry and the characterization of shape variation and variability is an important research topic in medical image analysis. Recent research in the field has focused on extending the mutual information based registration criterion to non-rigid matching, which is complicated by the statistical nature of the criterion and by the local impact of the non-rigid deformation parameters. In this paper we describe the state of the art in the field and ongoing work within our own research group.

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