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Semi-automatic generation of transfer functions for direct volume rendering
TLDR
It is demonstrated that for a large class of scalar volume data, namely that where the regions of interest are the boundaries between different materials, a transfer function which makes boundaries readily visible can be generated from the relationship between three quantities.
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Multidimensional Transfer Functions for Interactive Volume Rendering
TLDR
An important class of 3D transfer functions for scalar data is demonstrated, and the application of multi-dimensional transfer functions to multivariate data is described, and a set of direct manipulation widgets that make specifying such transfer functions intuitive and convenient are presented.
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Superquadric tensor glyphs
TLDR
Superquadric tensor glyphs enjoy the necessary symmetry properties of ellipsoids, while also imitating cuboids and cylinders to better convey shape and orientation, where appropriate.
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Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets
TLDR
This paper demonstrates an important class of three-dimensional transfer functions for scalar data (based on data value, gradient magnitude, and a second directional derivative), and describes a set of direct manipulation widgets which make specifying such transfer functions intuitive and convenient.
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DTI measures in crossing-fibre areas: Increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease
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Curvature-based transfer functions for direct volume rendering: methods and applications
TLDR
The proposed methodology combines an implicit formulation of curvature with convolution-based reconstruction of the field, and gives concrete guidelines for implementing the methodology, and illustrates the importance of choosing accurate filters for computing derivatives with Convolution.
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Tensorlines: advection-diffusion based propagation through diffusion tensor fields
TLDR
A novel feature extraction method which is based on incorporating information about the nearby orientation of the feature, as well as the anisotropic classification of the local tensor, which has the effect of stabilizing the tracking.
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Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images
TLDR
The theoretical developments provide a method for generating scalar maps of the diffusion tensor data, including novel fractional anisotropy maps that are color encoded for the mode of anisOTropy and directionally encoded colormaps of only linearly anisotropic structures, rather than of high fractionalAnisotropic structures.
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A geometric analysis of diffusion tensor measurements of the human brain
TLDR
A new method for representing the diffusion tensor shape, called the three‐phase (3P) plot, is described, which is a graphical technique based upon a barycentric coordinate system, which weights the Tensor shape by a combination of linear, cylindrical, and spherical shape factors.
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The Transfer Function Bake-Off
A liquid fuel pumping apparatus for supplying fuel to an internal combustion engine includes a member which is movable against the action of a spring system by means of centrifugally operable…
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