C. Wachinger, N. Navab Structural Image Representation for Image Registration IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, California, June 2010. Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). (bib)
	We propose a structural image representation and show its relevance for multi-modal image registration. Structural representation means that only the structures in the image matter and not the intensity values of their depiction. The representation is formulated as a dense descriptor. We specify three properties an optimal descriptor for structural registration has to fulfill: locality preservation, structural equivalence, and discrimination. The proposed entropy images are an approximation to such a representation. We improve their discriminative potential by integrating spatial information in the density estimation. We evaluate entropy images for rigid, deformable, and groupwise multi-modal image registration and achieve very good results in terms of both speed and accuracy. Finally, entropy images seamlessly integrate into existing registration frameworks and allow an efficient registration optimization.
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