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

3D needle-tissue interaction simulation for prostate brachytherapy.

Orcun Goksel1, Septimiu E Salcudean, Simon P DiMaio

  • 1Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada. orcung@ece.ubc.ca

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|May 12, 2006
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

Deep transfer learning for detection of placenta-mediated diseases from ultrasound images.

Scientific reports·2026
Same author

Self-supervised T2WI-bridged framework for liver segmentation and PDFF prediction from US images.

IEEE transactions on medical imaging·2026
Same author

Alcohol Use Disorder: A Confused Concept?

Drug and alcohol review·2026
Same author

National survey of protocols for day-case hip and knee arthroplasty in the UK.

Bone & joint open·2026
Same author

Navigating the big picture: A qualitative study of burn nurse perspectives on goals of care for patients with burns.

Burns : journal of the International Society for Burn Injuries·2026
Same author

Image-based metrics in ultrasound for estimation of global speed of sound.

Ultrasonics·2026
Same journal

LiftReg: Limited Angle 2D/3D Deformable Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Inverse Consistency by Construction for Multistep Deep Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Equivariant Filters for Efficient Tracking in 3D Imaging.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

uniGradICON: A Foundation Model for Medical Image Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
See all related articles

This study introduces a 3D finite element model for simulating needle-tissue interaction, enhancing prostate brachytherapy training with realistic simulations. The optimized model achieves real-time haptic feedback for improved medical resident skill acquisition.

Area of Science:

  • Computational mechanics
  • Medical simulation
  • Biomedical engineering

Background:

  • Accurate simulation of needle-tissue interaction is crucial for surgical training.
  • Existing models may lack the flexibility for arbitrary anatomical meshing.
  • Real-time haptic feedback is essential for effective skill acquisition in medical simulators.

Purpose of the Study:

  • To present a 3D finite element model for needle-tissue interaction.
  • To adapt the model for arbitrary mesh compatibility using third-party algorithms.
  • To develop a prostate brachytherapy simulator for training medical residents in needle steering skills.

Main Methods:

  • Developed a 3D finite element model extending prior work.
  • Incorporated arbitrary mesh accommodation for anatomical meshing.

Related Experiment Videos

  • Implemented and compared computational approaches for node repositioning and addition to achieve real-time haptic rates, including the Woodbury formula.
  • Main Results:

    • The developed model supports arbitrary meshes for anatomical representation.
    • Simulations of needle insertion into a prostate mesh run faster than 1 kHz.
    • The Woodbury formula was studied for its efficiency in achieving real-time haptic rates.

    Conclusions:

    • The 3D needle-tissue interaction model is suitable for creating realistic brachytherapy simulators.
    • The simulation achieves real-time performance, enabling effective training for medical residents.
    • Computational optimizations, like the Woodbury formula, are vital for high-fidelity haptic simulations.