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

FEM-based soft tissue destruction model for ablation simulator.

Naoto Kume1, Megumi Nakao, Tomohiro Kuroda

  • 1Graduate School of Informatics, Kyoto University, Japan.

Studies in Health Technology and Informatics
|February 19, 2005
PubMed
Summary

This study introduces a new soft tissue model for surgical ablation training simulators. The finite element method (FEM)-based model accurately simulates tissue deformation and destruction, improving surgical skill acquisition.

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

Thrombotic Antiphospholipid Syndrome: A Long Term Follow-up of Patients With Recurrent Pregnancy Loss and Antiphospholipid Antibodies From the APS 1994 Study.

American journal of reproductive immunology (New York, N.Y. : 1989)·2026
Same author

Restoration of missing regions in limited field of view computer tomography using an image- and sinogram-based conditional generative adversarial network model.

BJR artificial intelligence·2026
Same author

A nationwide survey of medical resource usage for cancer treatment using Japanese health claims data from 2011 to 2022.

Scientific reports·2026
Same author

Exploring Factors Influencing Nursing Task Prioritization for Supportive Information System Design: Qualitative Study With Thematic Analysis.

JMIR human factors·2026
Same author

Clinical Barriers to Hands-Free, Eyes-Free Voice Input for Nursing Records: Field Usability Study.

Asian/Pacific Island nursing journal·2026
Same author

Assessing Clinical Decision-Making Aided by a RAG-Based Dialog in Pre-Examination on Non-Odontogenic Tooth Pain.

Studies in health technology and informatics·2026

Area of Science:

  • Biomedical Engineering
  • Surgical Simulation
  • Computational Mechanics

Background:

  • Surgical ablation requires specialized skills that are challenging to train.
  • The risk of ablation failure necessitates effective training environments.
  • Existing training methods may not adequately replicate real-world surgical complexities.

Purpose of the Study:

  • To develop a novel finite element method (FEM)-based soft tissue model for surgical ablation training simulators.
  • To accurately simulate tissue deformation and destruction during ablation procedures.
  • To provide a realistic and safe environment for acquiring surgical ablation skills.

Main Methods:

  • A FEM-based soft tissue model was developed.
  • The model incorporates a shearing stress hypothesis to simulate tissue behavior.

Related Experiment Videos

  • Simulation experiments were conducted to validate the model's performance.
  • Main Results:

    • The proposed model successfully expressed varying destruction progressions based on manipulation.
    • Simulation results demonstrated the model's capability to mimic realistic tissue responses during ablation.
    • The model provides a dynamic and responsive training platform.

    Conclusions:

    • The FEM-based soft tissue model is effective for ablation training simulators.
    • This model can enhance the acquisition of surgical ablation skills.
    • It offers a promising approach to mitigate the risks associated with ablation failure.