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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

An externally validated machine learning algorithm for predicting mental and physical health outcomes three months post-hospitalization for severe viral infection with SARS-CoV-2.

Brain, behavior, & immunity - health·2026
Same author

Hemodiafiltration beyond the CONVINCE trial.

Clinical kidney journal·2026
Same author

CT-based deep learning radiogenomics for predicting key glioma genotypes (IDH, ATRX, EGFR, TP53).

Neuroradiology·2026
Same author

Optimal impartial correspondences.

Social choice and welfare·2026
Same author

Choice and impact of EQ-5D-5L value set in cost-utility analyses alongside multinational trials: Insights from PREFERABLE-EFFECT and CONVINCE.

PloS one·2026
Same author

Comparison of the accuracy of latent factor and sum scoring of the Hospital Anxiety and Depression Scale to screen for major depression: An individual participant data meta-analysis.

Journal of affective disorders·2026
Same journal

Categorization and segmentation of intestinal content frames for wireless capsule endoscopy.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

An intelligent scoring system and its application to cardiac arrest prediction.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

Guest editorial: Multimedia services and technologies for e-health (MUST-EH).

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

Editorial: From “information technology in biomedicine” to “biomedical and health informatics”.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

Equipment location in hospitals using RFID-based positioning system.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

Distributed system for cognitive stimulation over interactive TV.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2012
See all related articles

Related Experiment Video

Updated: Jan 1, 2026

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

13.3K

Integrating segmentation methods from different tools into a visualization program using an object-based plug-in

Felix Fischer1, M Alper Selver, Walter Hillen

  • 1Medical Informatics Laboratory, Fachhochschule-Aachen Division Jülich, 52428 Jülich, Germany.

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|April 21, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a flexible interface for medical image segmentation, allowing diverse methods to be combined. This improves visualization by integrating segmented organs, tissues, and vessels for better clinical insight.

More Related Videos

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.1K
From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

24.9K

Related Experiment Videos

Last Updated: Jan 1, 2026

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

13.3K
Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.1K
From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

24.9K

Area of Science:

  • Medical Visualization
  • Image Processing
  • Computational Anatomy

Background:

  • Segmentation is crucial for medical visualization but challenging due to anatomical and pathological variations.
  • Clinical interest often extends beyond single structures to include their properties and relationships with vascular systems.
  • Integrating multiple segmentation techniques within a single application is necessary for comprehensive analysis.

Purpose of the Study:

  • To implement a novel interface for applying and combining various medical image segmentation methods.
  • To enable individual parameter specification for each segmentation procedure, treating them as distinct objects.
  • To facilitate the rendering of combined segmentation results from different techniques on the same dataset.

Main Methods:

  • Development of a plug-in based interface for segmentation methods.
  • Object-oriented design for handling individual segmentation procedures and their parameters.
  • Integration with existing toolkits like Insight Toolkit, Java, and MATLAB.

Main Results:

  • Successful implementation of an interface supporting diverse segmentation plug-ins.
  • Demonstrated ability to segment different tissues using varied methods within a single dataset.
  • Enabled combined rendering of results from multiple segmentation techniques.
  • Provided a platform for sharing, comparing segmentation algorithms, and debugging.

Conclusions:

  • The developed interface offers a flexible and powerful solution for complex medical image segmentation tasks.
  • It enhances clinical utility by allowing integrated visualization of multiple segmented structures and their relationships.
  • The design promotes collaboration and efficiency for algorithm developers and researchers in medical visualization.