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 for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

948
Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
948
Computed Tomography01:10

Computed Tomography

7.5K
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...
7.5K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

859
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...
859

You might also read

Related Articles

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

Sort by
Same author

MRONJ risk associated with combined antiresorptive and vascular endothelial growth factor receptor tyrosine kinase inhibitors.

Bone reports·2026
Same author

Zygomatic implants as a solution for severe maxillary atrophy: a retrospective analysis of the original Brånemark scheme vs the quad zygoma scheme.

International journal of oral and maxillofacial surgery·2026
Same author

The DIAMONDS intervention for type 2 diabetes for people with severe mental illness: findings from a single-group feasibility study.

Frontiers in health services·2025
Same author

Accelerating domain-aware electron microscopy analysis using deep learning models with synthetic data and image-wide confidence scoring.

npj computational materials·2025
Same author

AI in Learning Anatomy and Restoring Central Incisors: A Comparative Study.

Journal of dental research·2025
Same author

Artificial intelligence-based incisive canal visualization for preventing and detecting post-implant injury, using cone beam computed tomography.

International journal of oral and maxillofacial surgery·2025

Related Experiment Video

Updated: Apr 22, 2026

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
09:36

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin

Published on: March 14, 2018

8.9K

CBCT-based bone quality assessment: are Hounsfield units applicable?

R Pauwels1, R Jacobs, S R Singer

  • 11 Department of Radiology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.

Dento Maxillo Facial Radiology
|October 16, 2014
PubMed
Summary
This summary is machine-generated.

Cone-beam computed tomography (CBCT) shows high-resolution dental images but quantitative gray values are unreliable for bone quality assessment. Structural analysis of trabecular bone patterns offers a promising alternative for implant planning.

Keywords:
Hounsfield unitsbone qualitycone-beam computed tomographydental implants

More Related Videos

Assessment of Bone Fracture Healing Using Micro-Computed Tomography
12:04

Assessment of Bone Fracture Healing Using Micro-Computed Tomography

Published on: December 9, 2022

2.4K
Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
07:33

Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography

Published on: November 8, 2024

957

Related Experiment Videos

Last Updated: Apr 22, 2026

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
09:36

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin

Published on: March 14, 2018

8.9K
Assessment of Bone Fracture Healing Using Micro-Computed Tomography
12:04

Assessment of Bone Fracture Healing Using Micro-Computed Tomography

Published on: December 9, 2022

2.4K
Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
07:33

Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography

Published on: November 8, 2024

957

Area of Science:

  • Dentistry
  • Radiology
  • Biomedical Imaging

Background:

  • Cone-beam computed tomography (CBCT) is a key imaging tool in dentistry, particularly for pre-operative implant planning.
  • Traditionally, bone quality assessment relied on bone density using Hounsfield units from multidetector CT (MDCT).
  • Significant technical differences between MDCT and CBCT complicate the quantitative use of gray values (GVs).

Purpose of the Study:

  • To evaluate the reliability of quantitative gray values in CBCT for bone quality assessment.
  • To explore the potential of structural analysis for evaluating bone quality using CBCT.
  • To shift the paradigm of bone quality assessment from density to structural evaluation.

Main Methods:

  • Review of experimental and clinical research on CBCT image variability.
  • Analysis of factors contributing to gray value variability in CBCT (field size, scatter, algorithms).
  • Exploration of structural analysis methods applicable to CBCT trabecular bone patterns.

Main Results:

  • CBCT images exhibit significant gray value variability due to inherent technique limitations.
  • Quantitative gray value analysis for bone quality in CBCT is currently unreliable.
  • CBCT's improving image quality enables visualization of trabecular bone patterns.

Conclusions:

  • Quantitative gray value analysis should be avoided for CBCT bone quality assessment at present.
  • Structural analysis of trabecular bone patterns is a viable alternative for CBCT.
  • CBCT holds potential for advanced bone quality evaluation beyond density measurements.