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

[Basic principles of data acquisition and data processing for construction of high quality virtual models].

H Shin1, G Stamm, D Högemann

  • 1Diagnostische Radiologie I, Medizinische Hochschule Hannover. shin.hoen-oh@mh-hannover.de

Der Radiologe
|May 2, 2000
PubMed
Summary

Creating virtual reality models involves acquiring isotropic data, reconstructing it carefully, and applying filters for noise reduction. Precise segmentation and model smoothing are crucial for high-quality 3D visualizations.

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

Robust Statistical Approaches to Understanding the Causal Effect of Air Pollution Mixtures.

Research report (Health Effects Institute)·2026
Same author

CBCT-based online adaptive radiotherapy of the prostate bed: first clinical experience and comparison to nonadaptive conventional IGRT.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]·2024
Same author

Photon-counting detector CT (PCD-CT) generated iodine maps to characterize parenchymal lung disease: A feasibility study.

European journal of radiology·2024
Same author

Evaluation of force pain thresholds to ensure collision safety in worker-robot collaborative operations.

Frontiers in robotics and AI·2024
Same author

Detection of novel drug-adverse drug reaction signals in rheumatoid arthritis and ankylosing spondylitis: analysis of Korean real-world biologics registry data.

Scientific reports·2024
Same author

An extremely energetic cosmic ray observed by a surface detector array.

Science (New York, N.Y.)·2023

Area of Science:

  • Medical Imaging
  • Computer Graphics
  • Computational Science

Context:

  • Virtual reality (VR) model creation requires meticulous data processing.
  • Optimizing scan parameters is key for acquiring nearly isotropic datasets.
  • Raw data reconstruction must avoid high-resolution algorithms to prevent noise amplification.

Purpose:

  • To outline a systematic workflow for generating high-fidelity virtual reality models.
  • To detail methods for noise reduction and isotropy approximation in 3D data.
  • To emphasize the importance of precise segmentation and model smoothing for visualization.

Summary:

  • Data acquisition focuses on achieving low-noise, isotropic datasets through optimized scan parameters.
  • Reconstruction involves computational approximation for missing isotropy and noise suppression via filtering.

Related Experiment Videos

  • Image processing enhances contrast for accurate segmentation, followed by model smoothing for improved visual fidelity.

    • Impact:

    • Enables the creation of more accurate and visually appealing 3D models for virtual reality applications.
    • Provides a framework for optimizing the virtual reality content creation pipeline.
    • Contributes to advancements in digital modeling and visualization techniques.