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

Positron Emission Tomography01:29

Positron Emission Tomography

6.2K
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
6.2K
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

649
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
649
Computed Tomography01:10

Computed Tomography

7.6K
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...
7.6K

You might also read

Related Articles

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

Sort by
Same author

Environmental impact of brine from desalination plants on marine benthic diatom diversity.

Marine environmental research·2025
Same author

<i>Sirolpidium bryopsidis</i>, a parasite of green algae, is probably conspecific with <i>Pontisma lagenidioides</i>, a parasite of red algae.

Fungal systematics and evolution·2021
Same author

Analysis of the influences on plumage condition in laying hens: How suitable is a whole body plumage score as an outcome?

Poultry science·2017
Same author

Implant-specific follow-up imaging of treated intracranial aneurysms: TOF-MRA vs. metal artifact reduced intravenous flat panel computed tomography angiography (FPCTA).

Clinical radiology·2017
Same author

CREM-transgene mice: An animal model of atrial fibrillation and thrombogenesis.

Thrombosis research·2017
Same author

Schizophrenia copy number variants and associative learning.

Molecular psychiatry·2016

Related Experiment Video

Updated: Apr 25, 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

9.7K

Evaluation of a metal artifacts reduction algorithm applied to postinterventional flat panel detector CT imaging.

D A Stidd1, H Theessen2, Y Deng3

  • 1From the Departments of Neurosurgery (D.A.S., R.M., M.C., D.K.L.).

AJNR. American Journal of Neuroradiology
|August 16, 2014
PubMed
Summary
This summary is machine-generated.

A new metal artifacts reduction algorithm effectively minimizes streak artifacts in flat panel detector CT images. This technique significantly reduces metal artifacts, improving image quality for better visualization of cerebral vasculature.

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

4.8K
Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

746

Related Experiment Videos

Last Updated: Apr 25, 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

9.7K
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

4.8K
Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

746

Area of Science:

  • Medical Imaging
  • Radiology
  • Image Processing

Background:

  • Flat panel detector CT (FDCT) imaging is susceptible to streak artifacts from radiodense metallic implants.
  • These artifacts degrade image quality, particularly in neurovascular applications.

Purpose of the Study:

  • To evaluate a novel metal artifacts reduction (MAR) prototype algorithm for FDCT.
  • To assess the algorithm's efficacy in a routine clinical setting for neuroimaging.

Main Methods:

  • 59 patients undergoing or previously having undergone cerebral endovascular/surgical procedures were included.
  • Physicians rated artifact severity adjacent to and 3 cm from implants on a 3-point scale.
  • Visible vessel segments were counted within a 3-cm radius before and after MAR application.

Main Results:

  • The MAR algorithm was applied successfully to all 59 FDCT datasets.
  • Significant reductions in metal artifacts were observed both immediately adjacent to (P = .05) and 3 cm from (P = .03) implants.
  • A trend towards increased visualization of vessel segments was noted (4.07 to 5.29, P = .1235).

Conclusions:

  • Metal artifacts reduction is effective in improving FDCT images degraded by metallic implants.
  • The MAR algorithm significantly decreases artifacts and shows a trend toward enhanced vessel visualization.