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

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發(fā)表于 2025-3-25 06:46:52 | 只看該作者
22#
發(fā)表于 2025-3-25 10:03:53 | 只看該作者
Efficient Selection of Representative Views and Navigation Paths for Volume Data Explorationr tasks. In order to facilitate the exploration process, informative viewpoints together with camera paths showing representative information on the model can be determined. In this paper we present amethod for representative viewselection and path construction, togetherwith some accelerations that make this process extremely fast on a modern GPU.
23#
發(fā)表于 2025-3-25 12:46:00 | 只看該作者
Discrete Distortion for 3D Data Analysisal and molecular images as examples.We consider a discrete model of the scalar field obtained by discretizing its 3D domain into a tetrahedral mesh. In particular, our meshes correspond to approximations at uniform or variable resolution extracted from a multi-resolution model of the 3D scalar field
24#
發(fā)表于 2025-3-25 17:18:30 | 只看該作者
Interactive Visualization–A Key Prerequisite for Reconstruction and Analysis of Anatomically Realists to extract previously inaccessible anatomical data with high precision. For instance, determination of neuron numbers, 3D distributions and 3D axonal and dendritic branching patterns support recently started efforts to reconstruct anatomically realistic network models of many thousand neurons. Suc
25#
發(fā)表于 2025-3-25 21:02:29 | 只看該作者
MRI-Based Visualisation and Quantification of Rheumatoid and Psoriatic Arthritis of the Knee or Psoriatic Arthritis, based on automated synoviumsegmentation and 3D visualisation of MRI scan data. This paper discusses the direction we have taken during the development of the visualization components of the application, and an overview of the project in general. Current software methods of q
26#
發(fā)表于 2025-3-26 01:20:02 | 只看該作者
27#
發(fā)表于 2025-3-26 05:28:26 | 只看該作者
28#
發(fā)表于 2025-3-26 10:43:56 | 只看該作者
An Evaluation of Peak Finding for DVR Classification of Biological Datafrom the scan source. Conventional transfer function approaches for direct volume rendering have difficulty handling such data, resulting in poor classification or undersampled rendering. Peak finding addresses issues in classifying noisy data by explicitly solving for isosurfaces at desired peaks i
29#
發(fā)表于 2025-3-26 16:25:20 | 只看該作者
Vessel Visualization with Volume Rendering present a pipeline model for direct volume rendering systems, which focus on vascular structures. We will cover the fields of data pre-processing, classification of the volume via transfer functions, and finally rendering the volume in 2D and 3D. For each stage in the pipeline, different techniques
30#
發(fā)表于 2025-3-26 17:44:18 | 只看該作者
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