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

The Internet and medical collaboration using virtual reality.

Wen Yau Liang1, Peter O'Grady

  • 1Department of Information Management, Da-Yeh University, 112 Shan-Jeau Rd Fu Hsing, Ta Tsun, Changhua 510, Taiwan, ROC. wyliang@mail.dyu.edu.tw

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|October 25, 2003
PubMed
Summary

This study introduces a virtual reality (VR) system for visualizing Computed Tomography (CT) data. The VR system enables remote manipulation and interactive 3D exploration of medical imaging for better diagnosis.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same journal

MedFusionNet: A hybrid transformer-based multimodal deep learning framework for chronic disease prediction in women's health.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

Multimodal clinical data integration for prognosis of pulmonary embolism: A comparative study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

Continual test-time adaptation via weight averaging of feature augmentations in cross-domain medical image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

A lightweight network for segmenting tree-like structures in medical images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

RGCNN-nnUNet: Recurrent group equivariant nnU-Net for robust brain tissue segmentation on stroke NCCT.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

Self-supervised isotropic reconstruction for abnormality detection in anisotropic MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

Area of Science:

  • Medical Imaging
  • Computer Science
  • Virtual Reality

Background:

  • Computed Tomography (CT) generates vast datasets, but current visualization methods are often inadequate for physicians.
  • Improved 3D visualization of CT data is crucial for enhanced medical diagnosis, surgical planning, and treatment strategies.

Purpose of the Study:

  • To develop a formalism for converting CT data into interactive 3D virtual reality environments.
  • To implement a system enabling remote access and manipulation of these virtual reality environments over the Internet.

Main Methods:

  • Research into virtual reality (VR) technologies and their application to medical imaging.
  • Development of a formalism to translate Computed Tomography (CT) data into the Virtual Reality Modeling Language (VRML).

Related Experiment Videos

  • Implementation of an Internet-based system for remote viewing and interaction with VRML worlds derived from CT scans.

    • Main Results:

    • A method for creating virtual reality worlds from CT data using VRML has been established.
    • An implemented system allows remote users to interact with and manipulate 3D CT visualizations over the Internet.

    Conclusions:

    • The developed virtual reality system offers a promising approach for interactive 3D visualization of Computed Tomography data.
    • Remote accessibility and manipulation capabilities enhance the potential of VR for medical diagnosis and planning.