Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Fast finite elements for surgery simulation.

M Bro-Nielsen¹

¹HT Medical Inc., Rockville, Maryland, USA.

Studies in Health Technology and Informatics

|December 8, 1996

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

PreOp endoscopic simulator: a PC-based immersive training system for bronchoscopy.

Studies in health technology and informatics·1999

Same author

VR simulation of abdominal trauma surgery.

Studies in health technology and informatics·1997

Same author

Automated image analysis applied to the odontoblast-predentine region in undemineralized sections of human permanent third molars.

Archives of oral biology·1997

Same author

Geometric and physical representations for a simulator of hepatic surgery.

Studies in health technology and informatics·1995

Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026

Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026

Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026

Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026

Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026

Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026

See all related articles

This study presents volumetric deformable models for realistic human body and organ simulation in surgery. Techniques like condensation and selective matrix operations achieve real-time performance for enhanced surgical training.

Area of Science:

Computational mechanics
Medical simulation
Biomedical engineering

Background:

Surgery simulation systems require accurate and responsive models of human anatomy.
Existing models may lack the necessary real-time performance for effective training.

Purpose of the Study:

To develop volumetric deformable models for human body parts and organs.
To achieve real-time response in surgery simulation systems.

Main Methods:

Utilized finite element models with linear elastic materials.
Applied condensation to the system stiffness matrix.
Employed selective matrix-vector multiplication to reduce computational cost.

Main Results:

Related Experiment Videos

Developed volumetric deformable models capable of simulating human body parts and organs.

Achieved real-time response crucial for interactive surgery simulation.

Minimized computational expense through optimized matrix operations.

Conclusions:

Volumetric deformable models based on finite element analysis are effective for surgery simulation.
Computational optimization techniques enable real-time performance for anatomical modeling.
The proposed methods enhance the fidelity and responsiveness of surgical training systems.