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Recently, a novel hybrid image alignment method for§2D images was presented, which is based on§configural matching of automatically extracted,§scale-invariant salient region features. The approach§combines advantageous aspects of both feature and§intensity based methods. This work proposes an§extension of the algorithm to 3D. Its applicability§is discussed on both mono- and multi-modality medical§3D images for change detection, tumor localization or§time based intra person studies. We describe how§results of the rigid body alignment approach can be§incorporated into a subsequent non-linear§registration. Besides the practical work, the work§presents an overview of current research in the field§of rigid and non-rigid hybrid image alignment methods§and existing patents. The following problems are§discussed: an overview of hybrid image alignment§methods, the implementation of the salient region§based matching method for 3D images, a statistical§optimization framework that is suitable for the§salient region based 3D image matching, and§possibilities for an integration of a non-linear§alignment method.
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