Titlebook: Information Processing in Medical Imaging; 22nd International C Gábor Székely,Horst K. Hahn Conference proceedings 2011 Springer-Verlag Gmb

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Sebastian Kurtek,Eric Klassen,Zhaohua Ding,Malcolm J. Avison,Anuj Srivastavaracted not through material charity, but through one-to-one friendships between the rich and poor, and the dissemination of a bourgeois culture that the poor had been denied. Students and graduates came down from Oxford to live at Toynbee Hall, where they gained access to the poor in East London by

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Adaptive Riemannian Metrics for Improved Geodesic Tracking of White Matterse diffusion tensor field as a Riemannian metric and constructed white matter tracts as geodesics on the resulting manifold. These geodesics have the desirable property that they tend to follow the main eigenvectors of the tensors, yet still have the flexibility to deviate from these directions when

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Segmentation of 3D RF Echocardiography Using a Multiframe Spatio-temporal Predictort identically distributed (i.i.d.) spatial model for RF intensity and a multiframe conditional model. The conditional model relates neighboring frames in the image sequence by means of a computationally efficient linear predictor that exploits spatio-temporal coherence in the data. Segmentation usin

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Surface–Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmom, in which target objects of arbitrary shape mutually interact with terrain-like surfaces, which widely exists in the medical imaging field. The approach incorporates context information used during simultaneous segmentation of multiple objects. The object–surface interaction information is encoded

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Optimal Weights for Multi-atlas Label Fusionlocal weighting techniques produce the most accurate results. However, these methods ignore the correlations between results produced by different atlases. Furthermore, they rely on pre-selected weighting models and ad hoc methods to choose model parameters. We propose a novel label fusion method to

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