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

Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
Errors in Taping01:18

Errors in Taping

Errors in taping arise from multiple factors that can significantly impact measurement accuracy in surveying. Misalignment of the tape, often due to human error, is one primary source. A skilled rear tapeman, using a telescope, can help correct alignment by guiding the head tapeman; however, human limitations still lead to small inaccuracies. These errors may include misplacement of pins or inaccurate tape readings due to common visual confusions, such as mistaking a six for a nine. Such...

You might also read

Related Articles

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

Sort by
Same author

Erratum: "Tract-specific white matter microstructure associated with early cognitive development in infants" [Neuroimage Rep 6 (2026) 100336].

Neuroimage. Reports·2026
Same author

Statistics and AI - A Fireside Conversation.

Harvard data science review·2026
Same author

Cardiovascular-Kidney-Metabolic Syndrome: Conceptualising an Approach to Health Economic Modelling.

Diabetes, obesity & metabolism·2026
Same author

Artificial Intelligence in Image-Based Cardiovascular Disease Analysis.

Annual review of biomedical data science·2026
Same author

Multi-organ imaging and genetics show the impact of sleep patterns on the human brain and body.

Communications medicine·2026
Same author

Scalable subclonal reconstruction of cancer cells in DNA sequencing data using a penalized likelihood model.

bioRxiv : the preprint server for biology·2026
Same journal

Impact of cone-beam computed tomography image quality on artificial intelligence-driven three-dimensional tooth segmentation and evaluation of external apical root resorption.

The Angle orthodontist·2026
Same journal

Bracket transfer accuracy of two three-dimensionally printed lingual indirect bonding trays with different bracket frame designs.

The Angle orthodontist·2026
Same journal

Biomechanical impact of beveling design on extrusion of a maxillary canine and a maxillary first molar: an in vitro and finite element analysis study.

The Angle orthodontist·2026
Same journal

Effectiveness of resin-modified glass ionomer vs composite bonding agents for orthodontic bonding: a single-center randomized controlled trial.

The Angle orthodontist·2026
Same journal

Plastic deformation evaluation of clear aligners exposed to different cleaning solutions.

The Angle orthodontist·2026
Same journal

Quantitative evaluation of an artificial intelligence-driven remote monitoring system for occlusion assessment using patient-captured images.

The Angle orthodontist·2026
See all related articles

Related Experiment Video

Updated: Jun 18, 2026

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

Accuracy and landmark error calculation using cone-beam computed tomography-generated cephalograms.

Dan Grauer1, Lucia S H Cevidanes, Martin A Styner

  • 1Department of Orthodontics, School of Dentistry, University of North Carolina, Chapel Hill, NC 27599-7450, USA. grauerd@dentistry.unc.edu

The Angle Orthodontist
|November 13, 2009
PubMed
Summary
This summary is machine-generated.

Comparing cone-beam computed tomography (CBCT) cephalograms and conventional digital cephalograms revealed minimal differences in landmark positioning. However, combining both imaging modalities in longitudinal studies may introduce larger errors than previously estimated.

More Related Videos

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
05:49

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Published on: February 23, 2024

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

Related Experiment Videos

Last Updated: Jun 18, 2026

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
05:49

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Published on: February 23, 2024

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

Area of Science:

  • Dentistry
  • Radiology
  • Orthodontics

Background:

  • Accurate cephalometric analysis is crucial for diagnosing and monitoring craniofacial growth and treatment outcomes.
  • Conventional digital cephalograms and cone-beam computed tomography (CBCT)-generated cephalograms are widely used imaging modalities.
  • Understanding potential systematic differences between these imaging techniques is essential for reliable longitudinal studies.

Purpose of the Study:

  • To systematically evaluate landmark positional differences between CBCT-generated cephalograms and conventional digital cephalograms.
  • To quantify the variability introduced when both imaging modalities are used concurrently in longitudinal studies.

Main Methods:

  • Homologous landmarks were digitized on CBCT-generated and conventional digital cephalograms from 46 patients.
  • Landmarks were registered and compared using the Hotelling T(2) test to identify systematic differences.

Main Results:

  • Most landmarks showed no systematic positional differences between the two imaging modalities.
  • Three landmarks exhibited statistically significant differences, though these did not reach clinical significance.
  • A method for calculating combined error when using both modalities in the same individual was developed.

Conclusions:

  • While most landmarks are comparable, the combined use of CBCT-generated and conventional digital cephalograms in longitudinal studies may result in greater cumulative error than previously assumed.
  • This finding has implications for the interpretation of treatment outcomes and growth assessments in long-term patient monitoring.