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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

4.9K
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...
4.9K
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

5
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
5

You might also read

Related Articles

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

Sort by
Same author

Supervised autoencoder for gradient and BCG artifact removal in EEG during simultaneous EEG-fMRI.

Magnetic resonance imaging·2026
Same author

Classification of glioma grade and Ki-67 level prediction in MRI data: A SHAP-driven interpretation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2025
Same author

Feasibility of tracking involuntary head movement for MRI using a coil as a magnetic dipole in a time-varying gradient.

Magnetic resonance imaging·2023
Same author

Simultaneous EEG-fMRI: evaluating the effect of the cabling configuration on the gradient artefact.

Physics in medicine and biology·2015
Same author

Magnetic field effects on the vestibular system: calculation of the pressure on the cupula due to ionic current-induced Lorentz force.

Physics in medicine and biology·2012
Same author

Interaction of MRI field gradients with the human body.

Physics in medicine and biology·2009
Same journal

Novel Parent Survey Measures Sensory Behaviors Incorporating Sensory Modality and Stimulus Intensity.

Heliyon·2026
Same journal

Expression of concern: "SQSTM1/p62 promotes the progression of gastric cancer through epithelial-mesenchymal transition" [Heliyon 10 (2024) e24409].

Heliyon·2026
Same journal

Expression of concern: "TL1A promotes metastasis and EMT process of colorectal cancer" [Heliyon 10 (2024) e24392].

Heliyon·2026
Same journal

Expression of concern: "Factors affecting timing of surgery following neoadjuvant chemoradiation for esophageal cancer" [Heliyon 9 (2023) e23212].

Heliyon·2026
Same journal

Expression of concern: "On stratified single-valued soft topogenous structures" [Heliyon 10 (2024) e27926].

Heliyon·2026
Same journal

Expression of concern: "Artifact removal and motor imagery classification in EEG using advanced algorithms and modified DNN" [Heliyon 10 (2024) e27198].

Heliyon·2026
See all related articles

Related Experiment Video

Updated: Jun 5, 2025

Measuring the Influence of Magnetic Vestibular Stimulation on Nystagmus, Self-Motion Perception, and Cognitive Performance in a 7T MRT
08:57

Measuring the Influence of Magnetic Vestibular Stimulation on Nystagmus, Self-Motion Perception, and Cognitive Performance in a 7T MRT

Published on: March 3, 2023

1.8K

Tracking head movement inside an MR scanner using electromagnetic coils.

E H Bhuiyan1,2, M E H Chowdhury1,3, P M Glover1

  • 1Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, NG7 2RD, UK.

Heliyon
|December 13, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for prospective motion correction in MRI by measuring induced voltage changes in head-mounted coils. This technique accurately tracks head movements, enhancing brain imaging quality.

Keywords:
Coils arrayEMF trackingHead motionProspective motoringReal-time motion tracking

More Related Videos

Cardiac Magnetic Resonance Imaging at 7 Tesla
09:14

Cardiac Magnetic Resonance Imaging at 7 Tesla

Published on: January 6, 2019

11.4K
Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI
11:00

Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI

Published on: March 19, 2021

4.4K

Related Experiment Videos

Last Updated: Jun 5, 2025

Measuring the Influence of Magnetic Vestibular Stimulation on Nystagmus, Self-Motion Perception, and Cognitive Performance in a 7T MRT
08:57

Measuring the Influence of Magnetic Vestibular Stimulation on Nystagmus, Self-Motion Perception, and Cognitive Performance in a 7T MRT

Published on: March 3, 2023

1.8K
Cardiac Magnetic Resonance Imaging at 7 Tesla
09:14

Cardiac Magnetic Resonance Imaging at 7 Tesla

Published on: January 6, 2019

11.4K
Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI
11:00

Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI

Published on: March 19, 2021

4.4K

Area of Science:

  • Medical Imaging
  • Biophysics
  • Electromagnetism

Background:

  • Prospective motion correction in brain MRI is critical for accurate imaging.
  • Involuntary head movement poses a significant challenge in MRI acquisition.
  • Real-time monitoring of head motion is essential for advanced MRI techniques.

Purpose of the Study:

  • To develop an innovative approach for prospective motion correction in MRI.
  • To investigate the use of induced voltage changes in coils for tracking head motion.
  • To create a system for accurate, real-time measurement of head position and orientation within an MRI scanner.

Main Methods:

  • Simulated induced voltage changes in circular coils due to time-varying magnetic field gradients.
  • Calculated voltage for varying coil positions and orientations (POSE).
  • Developed a system of linear equations and a calibration matrix using voltage data from a five-coil system to estimate POSE.

Main Results:

  • Established that voltage changes can accurately calculate the change in POSE of the coil system.
  • Developed software capable of robustly measuring six degrees of freedom for head motion with accuracy up to ≈0.3 mm.
  • Demonstrated that the system maintains accuracy even with added noise voltage (up to 20 μV).

Conclusions:

  • The proposed electromagnetic field-based real-time tracking method is highly accurate and non-invasive.
  • This technique enables precise identification of coil and head POSE within an MR scanner.
  • The method is compatible with standard MRI hardware, offering a practical solution for prospective motion correction.