Titlebook: Biomedical Image Registration; Third International Josien P. W. Pluim,Boštjan Likar,Frans A. Gerritse Conference proceedings 2006 Springer

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Local Intensity Mapping for Hierarchical Non-rigid Registration of Multi-modal Images Using the Crowhich can locally transform images of different modalities into an intermediate pseudo-modality. Integrated into the hierarchical framework, this intensity mapping uses the local joint intensity histograms of the coarsely registered sub-images and allows the use of the more robust cross-correlation coefficient for the matching of smaller patches.

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Removal of Interpolation Induced Artifacts in Similarity Surfaces,ion of an optimization process. In addition, this new filter generates image data with constant variance after linear interpolation, making measurements of signal change more reliable. Following filtering of MR images, similarity surfaces are smoothed with removal of local maxima and biased global maxima.

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A Unified Framework for Atlas Based Brain Image Segmentation and Registration,EEM) is evaluated for atlas-based segmentation of MR brain images on real data and compared to the standard EM segmentation algorithm without embedded registration component initialized with an affine registered atlas or after registering the atlas using a mutual information based non-rigid registration algorithm (II).

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International Political Economy Seriesitioned images show an outstanding accuracy and robustness by using BSP images, since the grid effects are drastically reduced. The obtained results indicate that BSP partitioning can provide a suitable framework for multiresolution registration.