Titlebook: Visualization and Processing of Higher Order Descriptors for Multi-Valued Data; Ingrid Hotz,Thomas Schultz Conference proceedings 2015 Spr

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APO

A Survey of Illustrative Visualization Techniques for Diffusion-Weighted MRI Tractographyques that employ focus+context visualization, visualizations of fiber tract bundles, representations of uncertainty in the context of probabilistic fiber tracking, and techniques that rely on a spatially abstracted visualization of connectivity.

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Diffusion-Weighted Magnetic Resonance Signal for General Gradient Waveforms: Multiple Correlation Fuh effects is immensely important for quantitative studies aiming to obtain microstructural parameters using diffusion MR acquisitions. Studies in recent years have demonstrated the potential of sophisticated gradient waveforms to provide novel information inaccessible by traditional measurements. Th

nonplus

Finslerian Diffusion and the Bloch–Torrey Equation is implicitly used in diffusion tensor imaging of the brain when cast into a Riemannian framework. When modeling the brain white matter as a Riemannian manifold one finds (under some provisions) that the metric tensor is proportional to the inverse of the diffusion tensor, and this opens up a range

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Fiber Orientation Distribution Functions and Orientation Tensors for Different Material Symmetriesibution functions (ODF), including the well-known von Mises-Fisher, Watson, and de la Vallée Poussin ODFs. Each is characterized by a mean direction and a concentration parameter. Then, we use these elementary ODFs as building blocks to construct new ones with a specified material symmetry and deriv

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Topology of 3D Linear Symmetric Tensor Fieldsrch results to the most fundamental types of 3D tensor fields, i.e., linear tensor fields, and provide some novel insights on such fields. We also propose a number of hypotheses about linear tensor fields. We hope by studying linear tensor fields, we can gain more critical insights into the topology

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