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

You might also read

Related Articles

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

Sort by
Same author

Mechanically triggered on-demand degradation of polymers synthesized by radical polymerizations.

Nature chemistry·2024
Same author

Diagnostic performance of a 3D double-echo steady-state sequence at 3 T using radial reformats for detecting and grading rotator cuff tears: a pilot diagnostic accuracy study with magnetic resonance imaging and arthroscopic correlation.

Acta radiologica (Stockholm, Sweden : 1987)·2023
Same author

The ER folding sensor UGGT1 acts on TAPBPR-chaperoned peptide-free MHC I.

eLife·2023
Same author

The influence of distribution, severity and volume of posttraumatic bone bruise on functional outcome after ACL reconstruction for isolated ACL injuries.

Archives of orthopaedic and trauma surgery·2023
Same author

Proof-of-Concept Double-Blind Placebo-Controlled Trial Measuring Cartilage Composition in Early Rheumatoid Arthritis under TNF-α-Inhibitor Therapy.

Journal of clinical medicine·2023
Same author

Structure and mechanism of immunoreceptors: New horizons in T cell and B cell receptor biology and beyond.

Current opinion in structural biology·2023

Related Experiment Video

Updated: Mar 19, 2026

Deep Brain Stimulation with Simultaneous fMRI in Rodents
11:09

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Published on: February 15, 2014

14.7K

Metal Artifact Reduction in Computed Tomography After Deep Brain Stimulation Electrode Placement Using Iterative

Joel Aissa1, Johannes Boos, Christoph Schleich

  • 1From the *Department of Diagnostic and Interventional Radiology, Medical Faculty, University of Dusseldorf, Dusseldorf; and †Computed Tomography, Siemens Healthcare GmbH, Forchheim, Germany.

Investigative Radiology
|June 17, 2016
PubMed
Summary

A new iterative metal artifact reduction (iMAR) technique significantly reduces artifacts from deep brain stimulation (DBS) hardware on CT scans. This improves image quality and diagnostic accuracy for patients undergoing DBS surgery.

More Related Videos

In vivo Positron Emission Tomography to Reveal Activity Patterns Induced by Deep Brain Stimulation in Rats
09:36

In vivo Positron Emission Tomography to Reveal Activity Patterns Induced by Deep Brain Stimulation in Rats

Published on: March 23, 2022

2.8K
Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.4K

Related Experiment Videos

Last Updated: Mar 19, 2026

Deep Brain Stimulation with Simultaneous fMRI in Rodents
11:09

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Published on: February 15, 2014

14.7K
In vivo Positron Emission Tomography to Reveal Activity Patterns Induced by Deep Brain Stimulation in Rats
09:36

In vivo Positron Emission Tomography to Reveal Activity Patterns Induced by Deep Brain Stimulation in Rats

Published on: March 23, 2022

2.8K
Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.4K

Area of Science:

  • Neurosurgery
  • Radiology
  • Medical Imaging

Background:

  • Intraoperative computed tomography (CT) following deep brain stimulation (DBS) electrode placement is hindered by metallic hardware artifacts.
  • These artifacts can obscure critical postoperative complications, impacting diagnostic accuracy.
  • Existing metal artifact reduction (MAR) techniques have limitations in addressing these challenges.

Purpose of the Study:

  • To evaluate the effectiveness of a novel iterative MAR technique in reducing artifacts from DBS hardware.
  • To assess the impact of this technique on the image quality and diagnostic performance of follow-up CT scans in DBS patients.

Main Methods:

  • Retrospective analysis of CT data from 17 patients who underwent DBS electrode implantation.
  • Raw CT data were reconstructed using both standard weighted filtered back projection (WFBP) and a novel iterative MAR algorithm (iMAR).
  • Quantitative artifact reduction was assessed by density changes, while qualitative image quality was evaluated by landmark visibility, electrode detectability, and artifact strength.

Main Results:

  • Iterative MAR (iMAR) significantly reduced metal artifacts compared to WFBP (low frequency values: 1608.6 ± 545.5 vs. 4487.3 ± 875.4, P < 0.004).
  • iMAR demonstrated significantly improved qualitative image quality, including better visualization of anatomical landmarks and electrode characteristics, and reduced artifact strength (P < 0.002).

Conclusions:

  • The novel iterative MAR algorithm effectively reduces metal artifacts near DBS electrodes in cranial CT images.
  • iMAR offers superior quantitative and qualitative image quality compared to WFBP for follow-up imaging in patients with DBS electrodes.