Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

You might also read

Related Articles

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

Sort by

Same author

Risk analysis approaches for microbial ingredients in microbial-based cleaning products.

Risk analysis : an official publication of the Society for Risk Analysis·2025

Same author

Diagnostic yield of dental radiography and digital tomosynthesis for the identification of anatomic structures in dogs.

Frontiers in veterinary science·2024

Same author

Changes in facial appearance alter one's sensitivity not only to the self but also to the outside world.

Frontiers in psychology·2024

Same author

Three-dimensional assessment of the nasopharyngeal airway in Down syndrome during the mixed dentition period: a case-control study.

The Angle orthodontist·2024

Same author

Diagnostic yield of dental radiography and digital tomosynthesis for the identification of anatomic structures in cats.

Frontiers in veterinary science·2024

Same author

Maxillary Protrusion with Severe Overjet Treated by Maxillary Anterior Alveolar Osteotomy.

Case reports in dentistry·2024

Search research articles

Related Experiment Video

Updated: Jun 14, 2026

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

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

Published on: February 23, 2024

Evaluating the mandible with cone-beam computed tomography.

Scott A Stratemann¹, John C Huang, Koutaro Maki

¹Division of Orthodontics, Department of Orofacial Sciences, School of Dentistry, University of California at San Francisco, San Francisco, CA 94143-0438, USA.

American Journal of Orthodontics and Dentofacial Orthopedics : Official Publication of the American Association of Orthodontists, Its Constituent Societies, and the American Board of Orthodontics

|April 13, 2010

Summary

This summary is machine-generated.

This study introduces a novel 3D method to analyze mandibular shape and growth, identifying key areas of variation for improved classification.

More Related Videos

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

Published on: January 28, 2020

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

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

Published on: September 8, 2023

Related Experiment Videos

Last Updated: Jun 14, 2026

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

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

Published on: February 23, 2024

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

Published on: January 28, 2020

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

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

Published on: September 8, 2023

Area of Science:

Anthropology
Biomedical Engineering
Orthodontics

Background:

Assessing mandibular shape and growth is crucial for understanding craniofacial development and pathology.
Current methods often rely on 2D analyses, limiting comprehensive evaluation.
3D analysis offers a more detailed approach to mandibular morphology.

Purpose of the Study:

To examine and define a novel 3D method for assessing mandibular shape and growth.
To quantitatively rank mandibular variations based on deviation from a mean shape.
To visualize regional differences in mandibular morphology using 3D color mapping.

Main Methods:

Thirty human mandibles were analyzed using 3D imaging techniques.
A mean mandibular shape was established, and individual mandibles were ranked using root mean square (RMS) deviation.
A superimposition method with color-coded regional difference mapping was employed.

Main Results:

Mandibular shape variations were most pronounced in the condylar heads, coronoid processes, anterior dentoalveolar region, and chin.
Quantitative ranking revealed a spectrum of mandibular sizes and shapes from small and narrow to large and broad.
Color mapping highlighted specific regions of significant deviation from the average mandibular form.

Conclusions:

The developed 3D method provides a comprehensive assessment of mandibular morphology.
Significant variations occur in specific anatomical regions of the mandible.
A new classification system is proposed, extending 2D evaluations to a 3D framework for enhanced diagnostic capabilities.