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

Planning system for computer assisted total knee replacement.

W Müller1, U Bockholt, G Voss

  • 1Fraunhofer-Institut für Graphische Datenverarbeitung (Fraunhofer-IGD), Department Visualization & Virtual Reality, Darmstadt, Germany. muellerw@igd.fhg.de

Studies in Health Technology and Informatics
|September 8, 2000
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

Time-Integrated Neutrino Source Searches with 10 Years of IceCube Data.

Physical review letters·2020
Same author

Measurement of the <math></math> energy spectrum with IceCube-79: IceCube Collaboration.

The European physical journal. C, Particles and fields·2020
Same author

[Factors associated with medication non-adherence in patients with type 2 diabetes mellitus: The first Algerian survey].

Annales pharmaceutiques francaises·2019
Same author

Partial third nerve palsy revealing cerebral cavernomatosis.

Journal francais d'ophtalmologie·2019
Same author

Search for neutrinos from decaying dark matter with IceCube: IceCube Collaboration.

The European physical journal. C, Particles and fields·2019
Same author

Constraints on Minute-Scale Transient Astrophysical Neutrino Sources.

Physical review letters·2019
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

Total knee replacement (TKR) surgery aims for improved function. Accurate alignment is crucial for TKR success, and computer-assisted planning offers enhanced precision for prosthetic component placement.

Area of Science:

  • Orthopaedic surgery
  • Biomedical engineering
  • Medical imaging

Background:

  • Total knee replacement (TKR) is a common procedure to alleviate pain and improve function.
  • Accurate alignment of prosthetic components is critical for surgical outcomes and implant longevity.
  • Current TKR methods rely on conventional templating and radiography, which have inherent inaccuracies.

Purpose of the Study:

  • To introduce a novel computer-assisted planning system for total knee replacement.
  • To enhance the precision of knee joint alignment during TKR surgery.
  • To provide control data for intraoperative surgical robotic systems.

Main Methods:

  • Development of a computer-assisted planning system for TKR.
  • Utilizing the system to generate precise control data for surgical robots.

Related Experiment Videos

  • Comparison with traditional templating and alignment devices.

    • Main Results:

    • The developed system aims to overcome the inaccuracies of conventional TKR alignment methods.
    • It provides enhanced control data for robotic-assisted TKR surgery.
    • Improved accuracy in component placement is anticipated.

    Conclusions:

    • Computer-assisted planning represents a significant advancement in TKR surgery.
    • This technology has the potential to improve surgical outcomes and prosthesis longevity.
    • It paves the way for more precise and reliable knee replacement procedures.