Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Output-Sensitive Filtering of Streaming Volume Data.

Veronika Solteszova1, Åsmund Birkeland2, Sergej Stoppel2

  • 1Christian Michelsen Research Bergen Norway; University of Bergen Norway.

Computer Graphics Forum : Journal of the European Association for Computer Graphics
|March 31, 2017
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Evaluating Visual Decision Support: How Does Preference Elicitation Shape Metric Sensitivity?

IEEE transactions on visualization and computer graphics·2026
Same author

Chat Modeling: Interaction-Enhanced Agent Framework for Visualizing Literature-Grounded Biological Structures.

IEEE transactions on visualization and computer graphics·2026
Same author

AIvaluateXR: An Evaluation Framework for on-Device AI in XR with Benchmarking Results.

IEEE transactions on visualization and computer graphics·2026
Same author

Structural evolution of a fungal cell wall protein family for β-glucan-binding and cell separation.

mBio·2026
Same author

MidSurfer: A Parameter-Free Approach for Mid-Surface Extraction From Segmented Volumetric Data.

IEEE computer graphics and applications·2025
Same author

Nanouniverse: Virtual Instancing of Structural Detail and Adaptive Shell Mapping.

IEEE transactions on visualization and computer graphics·2025
Same journal

MatplotAlt: A Python Library for Adding Alt Text to Matplotlib Figures in Computational Notebooks.

Computer graphics forum : journal of the European Association for Computer Graphics·2026
Same journal

psudo: Exploring Multi-Channel Biomedical Image Data with Spatially and Perceptually Optimized Pseudocoloring.

Computer graphics forum : journal of the European Association for Computer Graphics·2025
Same journal

Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies.

Computer graphics forum : journal of the European Association for Computer Graphics·2024
Same journal

Visual Parameter Space Exploration in Time and Space.

Computer graphics forum : journal of the European Association for Computer Graphics·2024
Same journal

Doom or Deliciousness: Challenges and Opportunities for Visualization in the Age of Generative Models.

Computer graphics forum : journal of the European Association for Computer Graphics·2024
Same journal

ParaDime: A Framework for Parametric Dimensionality Reduction.

Computer graphics forum : journal of the European Association for Computer Graphics·2024
See all related articles

This study introduces an output-sensitive visualization method for real-time streaming volume data. It efficiently skips unnecessary processing, enabling high-quality filtering for applications like 4D ultrasound imaging.

Area of Science:

  • Computer Graphics
  • Scientific Visualization
  • Medical Imaging

Background:

  • Real-time volume data acquisition presents challenges for traditional visualization pipelines.
  • Data enhancement, including noise reduction and artifact removal, is computationally expensive for streaming data like 4D ultrasound.

Purpose of the Study:

  • To develop an output-sensitive approach for visualizing streaming volume data.
  • To enable high-quality filtering operations in real-time scenarios by optimizing processing.
  • To reduce computational costs without compromising visualization quality.

Main Methods:

  • An output-sensitive method evaluating voxel contribution to the final image.
  • A fast scheme to predict the maximum effect of filtering operations on data values.
Keywords:
Categories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics] Three‐Dimensional Graphics and Realism – Visible line/surface algorithms. I.4.3 [Image Processing and Computer Vision] Enhancement – Filteringobject‐order imagingvisibilityvolume data processing

Related Experiment Videos

  • Prioritization of filtering based on voxel contribution and maximal permissible error per pixel.

    • Main Results:

    • The proposed method efficiently skips non-contributory voxels, reducing processing load.
    • Optimized filtering with zero permissible error achieves results identical to full-volume filtering.
    • Demonstrated effectiveness on scenarios requiring on-the-fly processing.

    Conclusions:

    • The output-sensitive approach significantly enhances the efficiency of real-time volume data visualization.
    • This method allows for high-quality filtering in demanding applications like 4D ultrasound.
    • It provides a practical solution for balancing computational cost and visual fidelity in streaming data visualization.