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

Forensic performance of dental age estimation methods at legal age thresholds in Latin America: a scoping review.

Forensic science, medicine, and pathology·2026
Same author

Late mandibular fracture after third molar extraction: a malpractice case or not?

The Journal of forensic odonto-stomatology·2025
Same author

Forensic odontology in the search of dental evidence at the scene of events with incinerated victims: a scoping review.

Forensic science, medicine, and pathology·2025
Same author

Accuracy of estimating postmortem interval using the relationship between total body score and accumulated degree-days: a systematic review and meta-analysis.

International journal of legal medicine·2024
Same author

Reliability of predictive models based on the mesiodistal and buccolingual diameters of permanent canine teeth for sex estimation in forensic contexts: A systematic review and meta-analysis.

Forensic science international·2024
Same author

Digital matching of palatal rugae patterns for forensic identification in edentulous denture wearers.

Forensic science, medicine, and pathology·2024

Related Experiment Video

Updated: Aug 16, 2025

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

1.8K

Digital Reconstructions Using Linear Regression: How Well Can It Estimate Missing Shape Data from Small Damaged

Ana Bucchi1, Antonietta Del Bove2,3, Sandra López-Lázaro1,4

  • 1Centro de Investigación en Odontología Legal y Forense (CIO), Facultad de Odontología, Universidad de La Frontera, Avenida Francisco Salazar 01145, Temuco 4780000, Chile.

Biology
|December 23, 2022
PubMed
Summary
This summary is machine-generated.

Multiple linear regression (RM) can accurately reconstruct incomplete zygomatic bones when damage is minimal. This digital reconstruction method shows promise for analyzing fragmented skeletal remains in forensic science and anthropology.

Keywords:
accuracycranial reconstructioncraniofacial approximationgeometric morphometrics

More Related Videos

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.2K
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.0K

Related Experiment Videos

Last Updated: Aug 16, 2025

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

1.8K
Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.2K
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.0K

Area of Science:

  • Forensic Anthropology
  • Paleontology
  • Bioinformatics

Background:

  • Skeletal remains are often fragmented, posing challenges for morphological analysis.
  • Digital reconstruction methods are crucial for estimating original bone shapes.

Purpose of the Study:

  • To evaluate the accuracy of multiple linear regression (RM) for reconstructing incomplete zygomatic bones.
  • To assess how landmark location and extent of damage affect reconstruction accuracy.

Main Methods:

  • Utilized 150 complete digital zygomatic models from diverse populations.
  • Simulated missing landmarks on zygomatic models.
  • Estimated missing landmarks using RM and compared predicted shapes to original data.

Main Results:

  • RM provided significantly different landmark coordinates compared to original data.
  • Reconstruction errors were smaller than the natural variation within the sample.
  • Accuracy decreased with an increased number and area of missing landmarks.

Conclusions:

  • RM is a viable method for accurately estimating zygomatic morphology with small-scale damage.
  • The method's performance is sensitive to the extent and location of bone fragmentation.