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 Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Biomechanical Evaluation of Cantilevered Full-Arch Implant-Supported Polymer-Based Hybrid Prostheses: A Digital Image Correlation Study.

Polymers·2026
Same author

Effect of Fiber and Metal Reinforcement on the Flexural Properties of Printed and Conventional Provisional Restorative Materials.

Polymers·2026
Same author

Surgical Treatment of Peri-Implant Defects with L-PRF-Xenograft Bone Blocks: A Prospective Case Series.

Bioengineering (Basel, Switzerland)·2026
Same author

Anti-neutrophil cytoplasmic antibody-associated vasculitis following allogenic bone marrow transplantation and chronic graft-versus-host disease: a rare case.

Journal of rheumatic diseases·2026
Same author

ACCU-RATES: A Web Tool for Accurate Enzyme Kinetics and Initial Reaction Rate Measurements.

Journal of molecular biology·2026
Same author

Automated Office Blood Pressure Measurements in Waiting Room or Isolated Room for Diagnosis and Phenotyping of Hypertension.

Journal of the American Heart Association·2025

Related Experiment Video

Updated: May 16, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

A method for segmentation of dental implants and crestal bone.

Pedro Cunha1, Miguel A Guevara, Ana Messias

  • 1LOME-Laboratory of Optics and Experimental Mechanics, INEGI-Institute of Mechanical Engineering and Industrial Management, Faculty of Engineering, University of Porto, Porto, Portugal, pcunha@inegi.up.pt.

International Journal of Computer Assisted Radiology and Surgery
|December 6, 2012
PubMed
Summary

This study introduces a novel method for segmenting dental implants and crestal bone in radiographic images, enabling accurate clinical and biomechanical evaluations. The method demonstrates high reliability and precision, with measurements closely aligning with expert assessments.

More Related Videos

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
08:15

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects

Published on: August 4, 2020

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
09:36

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin

Published on: March 14, 2018

Related Experiment Videos

Last Updated: May 16, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
08:15

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects

Published on: August 4, 2020

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
09:36

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin

Published on: March 14, 2018

Area of Science:

  • Dental Radiology
  • Medical Image Analysis
  • Biomechanical Engineering

Background:

  • Digital radiographic images are crucial for dental diagnosis and treatment.
  • Accurate segmentation of dental implants and surrounding bone is essential for evaluating implant success.

Purpose of the Study:

  • To develop and validate a new method for precise segmentation of dental implants and the crestal bone line in radiographic images.
  • To enable accurate computation of measures for biomechanical and clinical evaluation of dental implant positioning and evolution.

Main Methods:

  • A two-step segmentation process involving preprocessing (denoising, morphological operations, histogram thresholding) and active shape models.
  • Custom-adjusted and trained active shape models were used for precise structure detection.

Main Results:

  • The method achieved an intraclass correlation coefficient of 0.75, indicating good reliability.
  • Bland-Altman analysis showed 95% of values within limits of agreement, with a mean difference of 0.049 mm, below the 0.15 mm limit.

Conclusions:

  • The developed method provides precise segmentation of dental implants and crestal bone.
  • Validation on standardized periapical radiographs demonstrated good agreement with manual measurements.
  • Future work aims to enhance robustness to densitometry variations and validate on non-standardized radiographs.