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

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

229
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...
229
Computed Tomography01:10

Computed Tomography

7.9K
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...
7.9K

You might also read

Related Articles

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

Sort by
Same author

Balancing radiopacity and artifact generation: a quantitative evaluation of CBCT artifacts induced by resin-based restorative materials.

BMC oral health·2026
Same author

Impact of vertical facial patterns and oral habits on microbial colonization in children and adolescents: a cross-sectional study.

BMC pediatrics·2026
Same author

Evaluation of Salivary IL-2, IL-5, and IL-17 Levels in Paediatric Patients Treated With Stainless Steel Crowns.

International journal of paediatric dentistry·2025
Same author

Assessment of degenerative changes in the atlanto-odontoid joint using cone-beam computed tomography (CBCT) imaging.

PeerJ·2025
Same author

Bruxism and Stress: Ultrasonographic Masseter Muscle Assessment and Salivary Melatonin-Cortisol Dynamics.

Journal of oral rehabilitation·2025
Same author

Correction: Radiologic evaluation of associated symptoms and fractal analysis of unilateral dens invaginatus cases.

Oral radiology·2024

Related Experiment Video

Updated: Dec 31, 2025

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

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

Published on: September 8, 2023

3.5K

Comparing different planimetric methods on volumetric estimations by using cone beam computed tomography.

Alaettin Koç1, Ömer Said Sezgin2, Saadettin Kayıpmaz2

  • 1Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Van Yüzüncü Yıl University, 65080, Van, Turkey. alttnkc@gmail.com.

La Radiologia Medica
|January 10, 2020
PubMed
Summary

Cone beam computed tomography (CBCT) planimetric methods for bone defect volume estimation were evaluated. Semiautomatic segmentation (SAS) and manual segmentation (MS) methods are accurate and practical, unlike point counting (PC).

Keywords:
Computer-assisted image analysisCone beam computed tomographyDentistryFemurQuantitative evaluation

More Related Videos

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.3K
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

2.1K

Related Experiment Videos

Last Updated: Dec 31, 2025

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

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

Published on: September 8, 2023

3.5K
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.3K
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

2.1K

Area of Science:

  • Dental imaging and volumetric analysis
  • Biomaterials and bone regeneration research
  • Medical device accuracy and validation

Background:

  • Accurate volume estimation of bone defects is crucial for treatment planning and evaluating regenerative therapies.
  • Cone beam computed tomography (CBCT) offers a non-invasive method for 3D imaging of bone structures.
  • Planimetric methods, including point counting (PC), manual segmentation (MS), and semiautomatic segmentation (SAS), are used for volume calculations from imaging data.

Purpose of the Study:

  • To compare the accuracy of different planimetric methods for estimating bone defect volumes using CBCT data.
  • To assess the reliability and efficiency of PC, MS, and SAS techniques against a gold standard.
  • To determine the most suitable method for clinical application in bone defect volume assessment.

Main Methods:

  • Thirty-one intraosseous bone defects in bovine femurs were scanned using CBCT at a 0.3-mm section thickness.
  • Defect volumes were calculated using point counting (PC), manual segmentation (MS), and semiautomatic segmentation (SAS) methods.
  • Estimated volumes were validated against the Archimedes' method, with statistical analysis performed using Friedman's test.

Main Results:

  • Manual segmentation (MS) and semiautomatic segmentation (SAS) methods demonstrated compatible volume estimations with the Archimedes' method (p=0.768 and p=0.140, respectively).
  • The point counting (PC) method yielded significantly different volume estimations compared to the Archimedes' method (p < 0.001).
  • Semiautomatic segmentation (SAS) was found to be approximately 2.5 times faster than manual segmentation (MS).

Conclusions:

  • Both manual segmentation (MS) and semiautomatic segmentation (SAS) are validated and accurate methods for bone defect volume estimation using CBCT.
  • Semiautomatic segmentation (SAS) is recommended for its practicability and efficiency, offering a reliable alternative to manual methods.
  • The point counting (PC) method is not recommended for accurate volume estimation of bone defects with CBCT data.