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

Design Example: Setting a Curve Using Design Data01:09

Design Example: Setting a Curve Using Design Data

234
Designing and plotting a curve using field data requires precise calculations and execution. A horizontal curve with a radius of 200 meters and an intersection angle of 20 degrees is established using the method of perpendicular offsets from the long chord. The long chord, which spans between the curve's endpoints, is calculated to be 69.46 meters in length. To maintain accuracy in plotting, intervals of 3 meters are selected along the chord.The engineer determines the offset distances for each...
234
Virtual Work01:20

Virtual Work

1.4K
The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
1.4K
Principle of Virtual Work: Problem Solving01:13

Principle of Virtual Work: Problem Solving

1.7K
The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
To apply the principle of virtual work,...
1.7K
Setting Time of Cement01:12

Setting Time of Cement

655
The setting time of cement refers to the process of cement paste transitioning from a plastic state to a solid state. This process is crucial in construction as it dictates the timeframe for concrete placement, compaction, and finishing. The onset of this solidification is termed the initial set, indicating when the paste becomes unworkable. The final set is when the paste has solidified completely, and further handling or manipulation can no longer affect its shape. The cement strength is...
655
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

44.2K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
44.2K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

37.7K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
37.7K

You might also read

Related Articles

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

Sort by
Same author

Digital Implant Dentistry: The Past, the Present, the Future.

Journal of periodontal research·2026
Same author

Accuracy and Efficiency of Dynamic Computer-Assisted Implant Surgery Using Three Different Registration Methods-A Laboratory Study.

Clinical oral implants research·2026
Same author

Dual-Hybrid Treatment Approach for Peri-Implant Hard and Soft Tissue Stability.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]·2026
Same author

Guided roll flap in combination with static computer-assisted implant surgery: A technique report.

Clinical advances in periodontics·2026
Same author

Accuracy and hallucination behaviors of artificial intelligence-based large language models for dental implant identification on radiographs.

Journal of dentistry·2026
Same author

Trueness of fully guided static computer-assisted implant surgery for immediate implant placement in premolar and molar sites, an observational analysis.

BMC oral health·2026

Related Experiment Video

Updated: Jan 29, 2026

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes
07:22

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes

Published on: March 7, 2025

996

Radiographic markers for merging virtual data sets.

Adam Hamilton1, Faris Jamjoom2, Simon Doliveux2

  • 1Lecturer, Division of Regenerative and Implant Sciences, Department of Restorative Dentistry and Biomaterials Sciences, Harvard School of Dental Medicine, Boston, Mass.

The Journal of Prosthetic Dentistry
|February 13, 2019
PubMed
Summary
This summary is machine-generated.

A new, cost-effective dental technique accurately registers intraoral scans with cone beam computed tomography (CBCT) using simple resin markers. This noninvasive method overcomes scatter artifacts for improved digital dentistry workflows.

More Related Videos

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

1.4K
A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

4.5K

Related Experiment Videos

Last Updated: Jan 29, 2026

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes
07:22

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes

Published on: March 7, 2025

996
Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

1.4K
A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

4.5K

Area of Science:

  • Dentistry
  • Medical Imaging
  • Digital Workflow

Background:

  • Cone beam computed tomography (CBCT) is crucial for dental diagnostics.
  • Registering intraoral surface scans with CBCT data can be challenging due to scatter artifacts.
  • Accurate registration is vital for treatment planning and digital dentistry.

Purpose of the Study:

  • To describe a novel procedure for accurate registration of digital intraoral surface scans onto CBCT data.
  • To address the challenge of scatter artifact interference in the registration process.
  • To provide a cost-effective and noninvasive solution for dental data integration.

Main Methods:

  • Utilized chairside-fabricated composite resin markers placed on teeth as common landmarks.
  • Applied the markers to both intraoral surface scans and CBCT data sets.
  • Developed a registration procedure leveraging these markers to overcome scatter artifacts.

Main Results:

  • The described technique successfully registered digital intraoral surface scans onto CBCT data, even with significant scatter artifact.
  • The use of well-distributed composite resin markers ensured accurate landmark identification.
  • The procedure proved to be straightforward, noninvasive, and cost-effective.

Conclusions:

  • This technique offers a reliable method for registering intraoral scans and CBCT data.
  • The use of custom resin markers provides a practical solution for accurate landmark-based registration.
  • The approach enhances digital dentistry workflows by simplifying data integration without specialized equipment.