Titlebook: Visualization in Medicine and Life Sciences II; Progress and New Cha Lars Linsen,Hans Hagen,Hans-Christian Hege Conference proceedings 2012

手榴彈

Feature Preserving Smoothing of Shapes Using Saliency Skeletons simplified versions of the shape’s foreground and background skeletons. The method is simple to implement, works in real time, and robustly removes large-scale contour and binary speckle noise while preserving salient features. We demonstrate the method with several examples on datasets from the shape analysis application domain.

FLOAT

Adenocarcinoma

Mangle

VOK

受傷

Enhanced DTI Tracking with Adaptive Tensor Interpolationompute an interpolated tensor in each sector. The tracking then continues along the main eigenvector of the reconstructed tensors..We test our method on artificial, phantom and brain data, and compare it with (a) standard streamline tracking, (b) the Tensorlines method, (c) streamline tracking after

新字

Image-Space Tensor Field Visualization Using a LIC-like Method in the brain.We employ a multipass rendering approach whose main focus lies on regaining three-dimensionality of the data under user interaction as well as being able to have a seamless transition between local and global structures including a proper visualization of degenerated points.

Excise

Towards a High-quality Visualization of Higher-order Reynold’s Glyphs for Diffusion Tensor Imaging, therefore, is not suitable for interactive exploration. It has previously been shown that those glyphs defined in spherical harmonic coordinates can be rendered using hardware acceleration. We show how tensor data can be rendered efficiently using a similar algorithm and demonstrate and discuss th

Spinal-Tap

VENLO: Interactive Visual Exploration of Aligned Biological Networks and Their Evolutionting the comparison of networks across both species and time steps without changing the graph layoutwhile switching between the overview, the animated view, and the alignment view.We evaluate our system by applying it to real-world data.

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