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

Local Attraction01:22

Local Attraction

Local attraction refers to disturbances in compass readings caused by magnetic influences from nearby objects such as metal fences, buried pipes, vehicles, buildings, power lines, or natural iron ore deposits. Small items like wristwatches, steel tools, or belt buckles can also interfere with the compass by creating local magnetic fields that distort the Earth's natural magnetic field. These distortions lead to inaccurate readings, posing navigation and land surveying challenges.Local...

You might also read

Related Articles

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

Sort by
Same author

Environment-Driven Synthetic Baseline Analysis and Optimization in Joint Measurement OPM-MEG Arrays.

Bioengineering (Basel, Switzerland)·2026
Same author

Decoding Motor States from Phase-Amplitude Coupling Measured by OPM-MEG.

Biosensors·2026
Same author

Machine Learning-Based Magnetocardiography Model Aids in Diagnosing Non-ST-Segment Elevation Acute Coronary Syndrome in Acute Chest Pain.

Balkan medical journal·2026
Same author

Subject-Independent Depression Recognition from EEG Using an Improved Bidirectional LSTM with Dynamic Vector Routing.

Bioengineering (Basel, Switzerland)·2026
Same author

Atypical Resting-State and Task-Evoked EEG Signatures in Children with Developmental Language Disorder.

Bioengineering (Basel, Switzerland)·2026
Same author

Parameter Estimation and Quantification of Magnetic Nanoparticles Based on Improved Particle Swarm Optimization.

Micromachines·2026
Same journal

Correction: Komatsu et al. Three-Dimensional Visualization and Detection of the Pulmonary Venous-Left Atrium Connection Using Artificial Intelligence in Fetal Cardiac Ultrasound Screening. <i>Bioengineering</i> 2026, <i>13</i>, 100.

Bioengineering (Basel, Switzerland)·2026
Same journal

Comparison of CO<sub>2</sub> Laser and Microdebrider in the Surgical Treatment of Pediatric Recurrent Respiratory Papillomatosis: A Retrospective Analysis.

Bioengineering (Basel, Switzerland)·2026
Same journal

Toward More Translational Tumor Models: Breast dECM-Based 3D Systems Capture Native Microenvironmental Cues.

Bioengineering (Basel, Switzerland)·2026
Same journal

Postural Stability Changes During the 4 Phases of the Half Squat: Kinematics Profile of the Center of Pressure and Center of Mass in High-Performance Weightlifters-A Pilot Study.

Bioengineering (Basel, Switzerland)·2026
Same journal

Definite Implant Position as Novel Readout for Effectiveness of Ridge Preservation Indicates to Beneficial Effect of Combined Treatment with Platelet-Rich Fibrin (PRF) and Xenogenic Biomaterial in Bone Regeneration.

Bioengineering (Basel, Switzerland)·2026
Same journal

Trueness and Precision of Intraoral Scanners for 3D-Printed Orthodontic Models with Attachments: An In Vitro Comparative Study.

Bioengineering (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 16, 2026

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
09:25

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

7.3K

Accurate OPM-MEG Co-Registration via Magnetic Dipole-Based Sensor Localization with Rigid Coil Structures and Optical

Weinan Xu1, Wenli Wang1, Fuzhi Cao1

  • 1School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China.

Bioengineering (Basel, Switzerland)
|December 30, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid method for precise alignment of Optically Pumped Magnetometer (OPM)-Magnetoencephalography (MEG) sensors with MRI scans. The novel framework combines magnetic and optical techniques for improved accuracy in brain imaging.

Keywords:
OPM–MEGmagnetic dipoleoptical orientation constraintrigid coil structure (RCS)sensor co-registrationsingle-axis OPM

More Related Videos

Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement
09:43

Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement

Published on: November 7, 2017

9.8K
Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.1K

Related Experiment Videos

Last Updated: Jun 16, 2026

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
09:25

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

7.3K
Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement
09:43

Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement

Published on: November 7, 2017

9.8K
Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.1K

Area of Science:

  • Biophysics
  • Neuroimaging
  • Medical Physics

Background:

  • Accurate co-registration of Optically Pumped Magnetometer (OPM)-Magnetoencephalography (MEG) sensors with anatomical Magnetic Resonance Imaging (MRI) is crucial for high-fidelity source localization.
  • Existing methods like Optical Scanning Image (OSI) and magnetic dipole localization have limitations in accuracy, robustness, or determining the sensor's sensitive volume.

Purpose of the Study:

  • To develop and validate a hybrid co-registration framework integrating Rigid Coil Structures (RCS), magnetic dipole localization, and optical orientation constraints for OPM-MEG.
  • To evaluate the accuracy of magnetic dipole approximation for coil designs and assess the impact of optical orientation constraints on sensor stability.

Main Methods:

  • A multi-stage co-registration pipeline involving MRI-OSI alignment, OSI-RCS transformation, and RCS-sensor localization using a unified mathematical formulation.
  • Systematic simulations to assess magnetic dipole approximation accuracy for different coil geometries (cylindrical helical, planar single-turn).
  • Experimental validation using 18 coils and 11 single-axis OPMs, incorporating optical scanning of surface markers as a soft constraint.

Main Results:

  • Simulations provided guidelines for coil design by quantifying the influence of parameters like wire diameter and coil radius on dipole model fidelity.
  • Experimental results demonstrated positional accuracy of a few millimeters for OPM-MEG sensors.
  • Optical orientation priors significantly improved stability and suppressed orientation ambiguity in unstable channels compared to dipole-only optimization.

Conclusions:

  • The proposed hybrid framework effectively combines magnetic and optical information for robust OPM-MEG co-registration.
  • This approach overcomes limitations of individual methods, enhancing the spatial fidelity of OPM-MEG source localization.
  • The findings offer practical insights for coil design and sensor stabilization in advanced neuroimaging.