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Related Experiment Video

Updated: Jun 6, 2026

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

EEG-MRI co-registration and sensor labeling using a 3D laser scanner.

L Koessler1, T Cecchin, O Caspary

  • 1Centre de Recherche en Automatique de Nancy, Nancy-Université, Centre National de la Recherche Scientifique, Vandoeuvre, France.

Annals of Biomedical Engineering
|December 9, 2010
PubMed
Summary

A novel semi-automatic 3D laser scanning method accurately co-registers electroencephalography (EEG) sensors with MRI scans. This fast and user-friendly approach enhances brain imaging studies by precisely locating EEG sensors on the scalp.

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Last Updated: Jun 6, 2026

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Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
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Published on: June 6, 2015

Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Medical Physics

Background:

  • Accurate co-registration of electroencephalography (EEG) sensors with magnetic resonance imaging (MRI) is crucial for precise brain source localization.
  • Traditional methods can be time-consuming and complex, necessitating more efficient techniques.

Purpose of the Study:

  • To evaluate the effectiveness of a 3D handheld laser scanner for semi-automatic co-registration of EEG sensors with MRI scans.
  • To assess the accuracy, speed, and user-friendliness of this novel approach for brain imaging.

Main Methods:

  • A semi-automatic procedure using a 3D handheld laser scanner to acquire EEG sensor positions and facial shape.
  • MRI scans were used to obtain scalp meshes.
  • Pre-alignment via fiducial landmarks followed by iterative closest point algorithm for co-registration.
  • Automatic labeling of EEG sensors.

Main Results:

  • Mean time for digitizing 64 sensors and 3 landmarks was 53 seconds.
  • Average scanning time for facial shape was 2 minutes 6 seconds (5,263 points).
  • Mean residual error for sensor co-registration was 2.11 mm.

Conclusions:

  • The 3D laser scanner, combined with an efficient algorithm, offers a sufficiently accurate, fast, and user-friendly solution for EEG-MRI co-registration.
  • This method is suitable for longitudinal and retrospective brain source imaging studies.
  • The technique facilitates precise sensor localization, improving the reliability of neuroimaging analyses.