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: Jul 3, 2026

Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor
06:39

Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor

Published on: May 23, 2025

Robust surface registration using salient anatomical features for image-guided liver surgery: algorithm and

Logan W Clements1, William C Chapman, Benoit M Dawant

  • 1Department of Biomedical Engineering, Vanderbilt University, Box 351631, Station B, Nashville, Tennessee 37215, USA. logan.clements@vanderbit.edu

Medical Physics
|July 25, 2008
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

Mixed Reality Surgical Navigation System for Liver Interventions with Comprehensive Validation using Subsurface Target Localization.

IEEE transactions on bio-medical engineering·2026
Same author

Insertion Network for Image Sequence Correspondence Building.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

DermIDS: Dermatology imaging data structure for scalable and interoperable AI systems.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

Integrating 2D Dermatological Photography with 3D Anatomical Surfaces.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

Assessing Open-world Foundation Models for Zero-shot Skin Segmentation in Clinical Dermatological Photographs.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

Predictors of motor outcome with pallidal stimulation for Parkinson's disease from the CSP468 cohort.

NPJ Parkinson's disease·2026
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
See all related articles

This study introduces a novel weighted patch registration method to improve image-guided liver surgery accuracy. The new approach enhances initial pose estimation and registration robustness, crucial for surgical guidance.

Area of Science:

  • Medical Imaging
  • Surgical Navigation
  • Computer-Aided Surgery

Background:

  • Accurate image-to-physical space registration is critical for image-guided liver surgery (IGLS).
  • Current methods using Iterative Closest Point (ICP) can be compromised by initial pose estimation errors and tissue deformation.
  • Robust registration is needed to enhance surgical guidance reliability and deformation correction.

Purpose of the Study:

  • To develop a more robust surface-based registration method for IGLS.
  • To improve initial pose estimation and the accuracy of image-to-physical space registration.
  • To incorporate salient anatomical features into the registration process.

Main Methods:

  • Proposed a novel weighted patch registration algorithm incorporating salient anatomical features.

More Related Videos

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
10:25

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

Related Experiment Videos

Last Updated: Jul 3, 2026

Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor
06:39

Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor

Published on: May 23, 2025

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
10:25

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

  • Used preoperative tomograms and intraoperative laser scanner data for registration.
  • Compared the proposed method with traditional ICP using clinical datasets and robustness trials.

    • Main Results:

    • The weighted patch registration algorithm demonstrated improved robustness compared to traditional ICP.
    • Registration accuracy was enhanced, particularly under conditions of varying initial pose.
    • The new method did not significantly increase computation or data acquisition times.

    Conclusions:

    • The proposed weighted patch registration algorithm offers a more robust solution for image-to-physical space registration in IGLS.
    • This method enhances the reliability of surgical guidance and deformation correction data.
    • The algorithm is computationally efficient for intraoperative use.