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

283
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...
283
Computed Tomography01:10

Computed Tomography

8.0K
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...
8.0K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

792
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
792

You might also read

Related Articles

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

Sort by
Same author

Determination of Fungiform Papilla Number Using Deep Learning Methods.

Journal of imaging informatics in medicine·2026
Same author

Retrospective pilot study on the correlation between masseter muscle volume and myocardial function parameters.

Oral radiology·2025
Same author

Comparative evaluation of supplementary techniques for filling material removal in oval root canals: a micro-CT analysis.

Odontology·2025
Same author

Impact of treatment modalities on stress distribution in maxillary incisors with varying levels of external cervical resorption: a finite element analysis.

BMC oral health·2025
Same author

Evaluation of the Relationship Between Intake of Proton Pump Inhibitors and Peri-Implant Bone Microstructure by Using Fractal Analysis: A Retrospective Case-Control Study.

Clinical oral implants research·2025
Same author

Influence of Occlusal Cusp Inclination and Restoration Thickness on the Biomechanical Performance of Lithium Disilicate Molar Endocrowns: A 3D Finite Element Analysis.

European journal of dentistry·2025

Related Experiment Video

Updated: Jan 16, 2026

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

Noise-optimized cone-beam computed tomographic imaging of different post materials with multiple settings: A

Solaleh Shahmirzadi1,2, Dilek Helvacioglu-Yigit3, Umut Seki4

  • 1Division of Oral and Maxillofacial Radiology, Department of Diagnostic Sciences, Texas A&M School of Dentistry, Dallas, USA.

Imaging Science in Dentistry
|January 15, 2026
PubMed
Summary

Optimizing cone-beam computed tomography (CBCT) settings, including metal artifact reduction (MAR) and kilovoltage peak (kVp), enhances image quality for visualizing dental posts. Higher contrast-to-noise ratio (CNR) is achieved with specific settings, improving diagnostic accuracy.

Keywords:
Cone-Beam Computed TomographyDental MaterialsSignal-To-Noise Ratio

More Related Videos

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
08:19

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

Published on: May 17, 2018

10.3K
In situ Compressive Loading and Correlative Noninvasive Imaging of the Bone-periodontal Ligament-tooth Fibrous Joint
07:09

In situ Compressive Loading and Correlative Noninvasive Imaging of the Bone-periodontal Ligament-tooth Fibrous Joint

Published on: March 7, 2014

13.8K

Related Experiment Videos

Last Updated: Jan 16, 2026

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
Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
08:19

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

Published on: May 17, 2018

10.3K
In situ Compressive Loading and Correlative Noninvasive Imaging of the Bone-periodontal Ligament-tooth Fibrous Joint
07:09

In situ Compressive Loading and Correlative Noninvasive Imaging of the Bone-periodontal Ligament-tooth Fibrous Joint

Published on: March 7, 2014

13.8K

Area of Science:

  • Dental Imaging
  • Radiology
  • Biomaterials

Background:

  • Accurate visualization of endodontic posts is crucial for diagnosis.
  • Metal artifacts in cone-beam computed tomography (CBCT) can obscure details.
  • Optimizing imaging parameters is necessary to improve image quality.

Purpose of the Study:

  • To evaluate the impact of different post materials on contrast-to-noise ratio (CNR).
  • To assess the influence of various CBCT imaging settings and metal artifact reduction (MAR) algorithms on CNR.
  • To determine optimal imaging parameters for visualizing teeth with posts.

Main Methods:

  • Forty single-rooted teeth with four different post materials were scanned using a Planmeca ProMax 3D Max.
  • Scans were performed at varying kilovoltage peak (kVp), MAR levels, and voxel sizes.
  • Image analysis using ImageJ software calculated CNR; effective dose was also determined.

Main Results:

  • Higher CNR was observed in the middle root third at 96 kVp, 200 μm voxel size, and medium/high MAR.
  • Gold posts exhibited the lowest mean CNR; other materials showed no significant differences.
  • All tested factors significantly influenced mean CNR (P<0.05).

Conclusions:

  • A combination of low resolution (200 μm voxel size), medium MAR, and 96 kVp yielded the highest CNR and image quality.
  • These settings improved visualization of teeth with post materials using the Planmeca ProMax.
  • This optimized protocol also resulted in one of the lowest effective doses.