Coherent Structures of Characteristic Curves in Symmetric Second Order Tensor Fields

Hlawatsch, Marcel; Vollrath, Joachim E.; Sadlo, Filip; Weiskopf, Daniel

doi:10.1109/tvcg.2010.107

Cited by 9 publications

(7 citation statements)

References 47 publications

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“…One solution might be to allow effective surface structure detection by adding a “cap” at the end of a tube to allow the perception of surfaces and provide a clear view of those broken fibers, for example, depicting the tensor field with glyphs or volume rendering methods [22]. We may alter the data-rendering method to increase visual legibility, especially since the rendering method will alter the perceived structure, for example by applying flow maps [16] or showing topological structures [30, 39]. One possibility is to study the tradeoffs between display characteristics and more advanced depth-enhancement techniques, e.g., adding halos and providing better color design [19].…”

Section: Discussionmentioning

confidence: 99%

Effects of Stereo and Screen Size on the Legibility of Three-Dimensional Streamtube Visualization

Chen

Cai

Auchus

et al. 2012

IEEE Trans. Visual. Comput. Graphics

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We report the impact of display characteristics (stereo and size) on task performance in diffusion magnetic resonance imaging (DMRI) in a user study with 12 participants. The hypotheses were that (1) adding stereo and increasing display size would improve task accuracy and reduce completion time, and (2) the greater the complexity of a spatial task, the greater the benefits of an improved display. Thus we expected to see greater performance gains when detailed visual reasoning was required. Participants used dense streamtube visualizations to perform five representative tasks: (1) determine the higher average fractional anisotropy (FA) values between two regions, (2) find the endpoints of fiber tracts, (3) name a bundle, (4) mark a brain lesion, and (5) judge if tracts belong to the same bundle. Contrary to our hypotheses, we found the task completion time was not improved by the use of the larger display and that performance accuracy was hurt rather than helped by the introduction of stereo in our study with dense DMRI data. Bigger was not always better. Thus cautious should be taken when selecting displays for scientific visualization applications. We explored the results further using the body-scale unit and subjective size and stereo experiences.

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Section: Discussionmentioning

confidence: 99%

Effects of Stereo and Screen Size on the Legibility of Three-Dimensional Streamtube Visualization

Chen

Cai

Auchus

et al. 2012

IEEE Trans. Visual. Comput. Graphics

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“… Visualizations of diffusion tensor medical images with (a) glyphs [ 63 ], (b) hybrid voxel-based and tractography method [ 64 ], and (c, d) tractography methods [ 61 , 62 ]. Different uncertainty-aware glyph encodings are shown in (a), from left to right: ellipsoids, superquadrics, and fourth-order homogeneous polynomial [ 63 ].…”

Section: Fundamental Medical Image Visualization Techniquesmentioning

confidence: 99%

“…Different uncertainty-aware glyph encodings are shown in (a), from left to right: ellipsoids, superquadrics, and fourth-order homogeneous polynomial [ 63 ]. A combined rendering of voxel-based visualization of characteristic curves along with extracted tractography is shown in (b) [ 64 ]. For tractography visualizations, extracted fiber tracts of the brain are visualized as tubes with shadows with (c) ray tracing [ 62 ] and are combined into the context of volume rendering of scalar MRI with unified volume and surface occlusion shading [ 61 ] (d).…”

Section: Fundamental Medical Image Visualization Techniquesmentioning

confidence: 99%

A Review of Three-Dimensional Medical Image Visualization

et al. 2022

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Importance. Medical images are essential for modern medicine and an important research subject in visualization. However, medical experts are often not aware of the many advanced three-dimensional (3D) medical image visualization techniques that could increase their capabilities in data analysis and assist the decision-making process for specific medical problems. Our paper provides a review of 3D visualization techniques for medical images, intending to bridge the gap between medical experts and visualization researchers. Highlights. Fundamental visualization techniques are revisited for various medical imaging modalities, from computational tomography to diffusion tensor imaging, featuring techniques that enhance spatial perception, which is critical for medical practices. The state-of-the-art of medical visualization is reviewed based on a procedure-oriented classification of medical problems for studies of individuals and populations. This paper summarizes free software tools for different modalities of medical images designed for various purposes, including visualization, analysis, and segmentation, and it provides respective Internet links. Conclusions. Visualization techniques are a useful tool for medical experts to tackle specific medical problems in their daily work. Our review provides a quick reference to such techniques given the medical problem and modalities of associated medical images. We summarize fundamental techniques and readily available visualization tools to help medical experts to better understand and utilize medical imaging data. This paper could contribute to the joint effort of the medical and visualization communities to advance precision medicine.

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“…As topological features may be boundary induced, a direct application of tensor field topology to brain data is challenging due to the brain's complex surface. There, topological features on derived values instead of the tensor data directly show promising results [Sch11, THBG12, HVSW11].…”

Section: State Of the Art – Tensor Fieldsmentioning

confidence: 99%

A Survey of Topology‐based Methods in Visualization

Heine

Leitte

Hlawitschka³

et al. 2016

Computer Graphics Forum

137

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This paper presents the state of the art in the area of topology-based visualization. It describes the process and results of an extensive annotation for generating a definition and terminology for the field. The terminology enabled a typology for topological models which is used to organize research results and the state of the art. Our report discusses relations among topological models and for each model describes research results for the computation, simplification, visualization, and application. The paper identifies themes common to subfields, current frontiers, and unexplored territory in this research area.

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Coherent Structures of Characteristic Curves in Symmetric Second Order Tensor Fields

Cited by 9 publications

References 47 publications

Effects of Stereo and Screen Size on the Legibility of Three-Dimensional Streamtube Visualization

Effects of Stereo and Screen Size on the Legibility of Three-Dimensional Streamtube Visualization

A Review of Three-Dimensional Medical Image Visualization

A Survey of Topology‐based Methods in Visualization

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