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

Computed Tomography01:10

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

Imaging Studies I: CT and MRI

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...
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
Imaging Studies III: Computed Tomography01:27

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...

You might also read

Related Articles

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

Sort by
Same author

Spectral deep learning-based patient and bowtie scatter correction for clinical photon-counting CT.

Medical physics·2026
Same author

Detection of calcified plaques: comparison between coronary CT angiography and thin-slice non-contrast CT with deep learning-aided image registration.

European radiology·2026
Same author

Performance analysis of liver segmentation using nn-UNet TotalSegmentator: Focus on atypical livers, pathologies, and variants.

European journal of radiology·2026
Same author

Feasibility of opportunistic dental diagnostics in routine photon-counting CT examinations of the cervical spine.

BMC oral health·2026
Same author

Evaluating the Generalizability and Effectiveness of the 10-to-10 rule: Individualized Contrast Media Protocols for Vascular and Parenchymal CT Scans at Variable Tube Voltages-A Multicenter Trial.

Investigative radiology·2026
Same author

Validation of a novel 3D-printed anthropomorphic pediatric abdomen phantom using photon-counting CT.

Scientific reports·2025
Same journal

Vessel Wall Imaging in 1.5 T MRI Using Deep Learning Reconstruction: Prospective Evaluation of Interchangeability With Standard 3 T MRI.

Investigative radiology·2026
Same journal

Accelerated Deep-Learning-Based Image Reconstruction for 3D T2 Dark-Fluid in Imaging of Multiple Sclerosis.

Investigative radiology·2026
Same journal

3D Freehand Ultrasound Imaging of Optic Nerve Sheath.

Investigative radiology·2026
Same journal

Iodinated Contrast Media Hypersensitivity in 115,966 Patients: Risk Factors, Severity Profiles, and the Impact of Iodine Concentration on Reaction Risk.

Investigative radiology·2026
Same journal

Improvement of Lung Nodule Volumetric Accuracy with Photon-counting Computed Tomography Over Energy-integrating Computed Tomography in Low-dose Screening: A Phantom Study.

Investigative radiology·2026
Same journal

Photon-counting CT in Anterior Cervical Discectomy and Fusion: Improved Metal Artifact Reduction and Impact on Bone Fusion Assessment.

Investigative radiology·2026
See all related articles

Related Experiment Video

Updated: May 21, 2026

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

Normalized metal artifact reduction in head and neck computed tomography.

Michael M Lell1, Esther Meyer, Michael A Kuefner

  • 1Department of Radiology, University of Erlangen, Erlangen, Germany. michael.lell@uk-erlangen.de

Investigative Radiology
|June 5, 2012
PubMed
Summary
This summary is machine-generated.

Dental hardware artifacts in CT scans can obscure lesions. A new normalization technique for metal artifact reduction (NMAR) significantly improves image quality and diagnostic accuracy in the oral cavity and oropharynx.

More Related Videos

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor
10:24

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

Published on: May 7, 2021

Mixed Reality Assisted Radical Endoscopic Thyroidectomy
08:06

Mixed Reality Assisted Radical Endoscopic Thyroidectomy

Published on: January 31, 2025

Related Experiment Videos

Last Updated: May 21, 2026

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

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor
10:24

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

Published on: May 7, 2021

Mixed Reality Assisted Radical Endoscopic Thyroidectomy
08:06

Mixed Reality Assisted Radical Endoscopic Thyroidectomy

Published on: January 31, 2025

Area of Science:

  • Medical Imaging
  • Radiology
  • Computational Imaging

Background:

  • Dental hardware in computed tomography (CT) scans causes artifacts, degrading image quality and hindering visualization of oral and oropharyngeal lesions.
  • Magnetic resonance imaging (MRI) is often preferred due to metal artifacts in CT, but CT offers advantages in certain clinical scenarios.

Purpose of the Study:

  • To develop and validate a novel generalized normalization technique for metal artifact reduction (NMAR) in CT.
  • To assess the performance of NMAR in reducing artifacts and improving diagnostic quality in patients with dental hardware.

Main Methods:

  • A 3D forward projection method was used to identify metal-affected raw data after metal segmentation.
  • A prior image was employed for normalization of projections before interpolation, followed by denormalization.
  • CT data from 19 patients with dental hardware artifacts were reconstructed using filtered backprojection (FBP), linear interpolation MAR (LIMAR), and NMAR, with MRI as a reference.

Main Results:

  • NMAR significantly reduced the number of nondiagnostic slices compared to FBP and LIMAR (87 vs. 164 and 157, respectively).
  • Mean severe artifacts per patient were significantly lower with NMAR (5.4) compared to FBP (10.1) and LIMAR (9.6) (P < 0.001).
  • NMAR unmasked two malignant lesions and introduced no artifacts in metal-free regions, demonstrating superior diagnostic value.

Conclusions:

  • Normalized metal artifact reduction (NMAR) shows significant potential to enhance CT image quality in the presence of dental hardware.
  • NMAR can improve the diagnostic accuracy of CT scans of the oral cavity and oropharynx, potentially reducing the need for alternative imaging modalities.