Effective Techniques to Visualize Filament‐Surface Relationships

Kuß, Anja; Gensel, Maria; Meyer, Brett H.; Dercksen, Vincent J.; Prohaska, Steffen

doi:10.1111/j.1467-8659.2009.01703.x

Cited by 6 publications

(5 citation statements)

References 26 publications

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“…3D representations have the problem of occlusion that does not allow a doctor or researcher to see all the data simultaneously. Techniques have been developed to improve 3D representations using visual cues such as shadows and transparency to improve spatial acuity in 3D [20,34] or to include 2D data [45]. In our 2D representation, all the necessary data including ESS is displayed for a medical practitioner to assess the severity of disease within an anatomical frame of reference.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Artery Visualizations for Heart Disease Diagnosis

Borkin

Gajos

Peters

et al. 2011

IEEE Trans. Visual. Comput. Graphics

146

117

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Abstract-Heart disease is the number one killer in the United States, and finding indicators of the disease at an early stage is critical for treatment and prevention. In this paper we evaluate visualization techniques that enable the diagnosis of coronary artery disease. A key physical quantity of medical interest is endothelial shear stress (ESS). Low ESS has been associated with sites of lesion formation and rapid progression of disease in the coronary arteries. Having effective visualizations of a patient's ESS data is vital for the quick and thorough non-invasive evaluation by a cardiologist. We present a task taxonomy for hemodynamics based on a formative user study with domain experts. Based on the results of this study we developed HemoVis, an interactive visualization application for heart disease diagnosis that uses a novel 2D tree diagram representation of coronary artery trees. We present the results of a formal quantitative user study with domain experts that evaluates the effect of 2D versus 3D artery representations and of color maps on identifying regions of low ESS. We show statistically significant results demonstrating that our 2D visualizations are more accurate and efficient than 3D representations, and that a perceptually appropriate color map leads to fewer diagnostic mistakes than a rainbow color map.

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Section: Related Workmentioning

confidence: 99%

Evaluation of Artery Visualizations for Heart Disease Diagnosis

Borkin

Gajos

Peters

et al. 2011

IEEE Trans. Visual. Comput. Graphics

146

117

View full text Add to dashboard Cite

show abstract

“…Eventually, the tool could even indicate the grade of inflammation of the segment by means of visualization techniques thereby improving the perception and accelerating the recognition time [30]. …”

Section: Discussionmentioning

confidence: 99%

“…Perceptually effective visualization techniques as well as methods to evaluate their effectiveness will support this development [30]. Such an approach makes it feasible to generate patient-specific depictions of particular pathologies which are easy to understand for laymen.…”

Section: Discussionmentioning

confidence: 99%

A computer-assisted model for detection of MRI signs of Crohn’s disease activity: future or fiction?

2011

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Magnetic resonance imaging is increasingly used for abdominal evaluation and is more and more considered as the optimal imaging technique for detection of mural inflammation in patients with Crohn’s disease. Grading the disease activity is important in daily clinical practice to monitor the medical treatment and is assessed by evaluating different magnetic resonance imaging features. Unfortunately, only moderate interobserver agreement is reported for most of the subjective features and should be improved. A computer-assisted model for automatic detection of abnormalities, ability to grade disease severity, and thereby influence clinical disease management based on magnetic resonance imaging is missing. Recent techniques have focused on semi-automated methods for classification and segmentation of the bowel and also on objective measurement of bowel wall enhancement using absolute T1-values or dynamic contrast-enhanced imaging. This article reviews the available computerized techniques, as well as preferred developments.

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“…In the context of atlas visualization, illustrative abstraction may be a suitable approach to visualize information at different scales. In an exploratory user study, Kuß et al (2010) evaluated the use of different illustrative enhancements for the visualization of filament-surface relationships in 3D brain models. They conclude that the best results are achieved using a combination of line coloring and intersection glyph display.…”

Section: Advanced Visualization Techniquesmentioning

confidence: 99%

Towards Advanced Interactive Visualization for Virtual Atlases

Smit

Brückner

2019

Advances in Experimental Medicine and Biology

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An atlas is generally defined as a bound collection of tables, charts or illustrations describing a phenomenon. In an anatomical atlas for example, a collection of representative illustrations and text describes anatomy for the purpose of communicating anatomical knowledge. The atlas serves as reference frame for comparing and integrating data from different sources by spatially or semantically relating collections of drawings, imaging data, and/or text. In the field of medical image processing, atlas information is often constructed from a collection of regions of interest, which are based on medical images that are annotated by domain experts. Such an atlas may be employed for example for automatic segmentation of medical imaging data. The combination of interactive visualization techniques with atlas information opens up new possibilities for content creation, curation, and navigation in virtual atlases. With interactive visualization of atlas information, students are able to inspect and explore anatomical atlases in ways that were not possible with the traditional method of presenting anatomical atlases in book format, such as viewing the illustrations from other viewpoints. With advanced interaction techniques, it becomes possible to query the data that forms the basis for the atlas, thus empowering researchers to access a wealth of information in new ways. So far, atlas-based visualization has been employed for mainly medical education, as well as biological research. In this survey, we provide an overview of current digital biomedical atlas tasks and applications and summarize relevant visualization techniques. We discuss recent approaches for providing nextgeneration visual interfaces to navigate atlas data that go beyond common textbased search and hierarchical lists. Finally, we reflect on open challenges and opportunities for the next steps in interactive atlas visualization.

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Effective Techniques to Visualize Filament‐Surface Relationships

Cited by 6 publications

References 26 publications

Evaluation of Artery Visualizations for Heart Disease Diagnosis

Evaluation of Artery Visualizations for Heart Disease Diagnosis

A computer-assisted model for detection of MRI signs of Crohn’s disease activity: future or fiction?

Towards Advanced Interactive Visualization for Virtual Atlases

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