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 Video

Updated: Jun 23, 2026

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals
07:57

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals

Published on: April 25, 2017

A physics based method for combining multiple anatomy models with application to medical simulation.

Yanong Zhu1, Derek Magee, Rishya Ratnalingam

  • 1School of Computing, University of Leeds, UK.

Studies in Health Technology and Informatics
|April 21, 2009
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

Preface: Special memorial issue dedicated to Kendric Smith.

Photochemistry and photobiology·2026
Same author

AI-derived prognostic biomarkers from melanoma whole slide image segmentation: an initial discovery and assessment.

The journal of pathology. Clinical research·2026
Same author

Bystander effects in photodynamic therapy-treated tumors involve spatiotemporally extended ferroptosis.

Journal of molecular medicine (Berlin, Germany)·2026
Same author

Pitfalls and other issues with the MTT assay.

Photodiagnosis and photodynamic therapy·2025
Same author

Formative Usability Testing of Artificial Intelligence in Pathology: The Challenge of Assessing Acceptability.

Studies in health technology and informatics·2025
Same author

The Development and Evaluation of a Convolutional Neural Network for Cutaneous Melanoma Detection in Whole Slide Images.

Archives of pathology & laboratory medicine·2024

This study introduces a physics-based method for creating anatomy models by combining parts from various sources. The approach ensures model integrity and shape validity for applications in medical simulation.

Area of Science:

  • Medical Imaging and Simulation
  • Computational Anatomy
  • Physics-Based Modeling

Background:

  • Constructing accurate anatomy models is crucial for medical simulation.
  • Combining anatomical components from diverse sources (modalities, patients) presents challenges in maintaining model integrity.
  • Existing methods may struggle with preserving shape and spatial relationships during component integration.

Purpose of the Study:

  • To develop a physics-based approach for constructing composite anatomy models.
  • To ensure the validity of shapes and spatial relationships when combining anatomical components.
  • To demonstrate the utility of this method in medical simulation tasks.

Main Methods:

  • Generation of a mass-spring model from an initial anatomy to mimic physical properties.

More Related Videos

Pipeline for Multi-Scale Three-Dimensional Anatomic Study of the Human Heart
04:22

Pipeline for Multi-Scale Three-Dimensional Anatomic Study of the Human Heart

Published on: June 28, 2024

Related Experiment Videos

Last Updated: Jun 23, 2026

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals
07:57

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals

Published on: April 25, 2017

Pipeline for Multi-Scale Three-Dimensional Anatomic Study of the Human Heart
04:22

Pipeline for Multi-Scale Three-Dimensional Anatomic Study of the Human Heart

Published on: June 28, 2024

  • Estimation of external forces using Gradient Vector Flow (GVF) and Distance Transform maps for component deformation.
  • Implementation of component replacement/modification and insertion functionalities.

    • Main Results:

    • Successfully created a physics-based framework for anatomy model construction.
    • Demonstrated the ability to maintain component shape and spatial validity during combination.
    • Validated the approach through non-rigid surface alignment, component replacement, and insertion in medical simulation contexts.

    Conclusions:

    • The proposed physics-based method effectively integrates anatomical components from diverse sources.
    • This approach enhances the realism and reliability of anatomy models for medical simulation.
    • The technique offers a robust solution for creating complex anatomical models by combining existing parts.