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

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Optimal Data-Driven Sparse Parameterization of Diffeomorphisms for Population Analysismplate representative image but also a common optimal parameterization of the anatomical variations evident in the population. First, we introduce a discrete parameterization of large diffeomorphic deformations based on a finite set of control points, so that deformations are characterized by a low

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Learning an Atlas of a Cognitive Process in Its Functional Geometryonnectivity is encoded in a low-dimensional embedding space derived from a diffusion process on a graph that represents correlations of fMRI time courses. The atlas is represented by a common prior distribution for the embedded fMRI signals of all subjects. The atlas is not directly coupled to the a

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Parameterization-Invariant Shape Statistics and Probabilistic Classification of Anatomical Surfaceses a Riemannian metric that allows re-parameterizations of surfaces by isometries, and computations of geodesics. This allows computing Karcher means and covariances of surfaces, which involves optimal re-parameterizations of surfaces and results in a superior alignment of geometric features across

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On the Extraction of Topologically Correct Thickness Measurements Using Khalimsky’s Cubic Complexckness of structures from automatic probabilistic segmentations is normally hindered by the presence of noise, partial volume (PV) effects and the limited resolution of medical images. Also, the complexity of certain shapes, like the highly convoluted and PV corrupted cerebral cortex, results in top

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A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRIh the geometrical constraint. For each region, we consider the global Bhattacharyya metric prior to evaluate a gray-scale and a radial distance distribution matching. In this regard, the studied problem amounts to finding three regions that most closely match their respective input distribution mode