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Related Experiment Video

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Faster and improved 3-D head digitization in MEG using Kinect.

Santosh Vema Krishna Murthy1, Matthew MacLellan1, Steven Beyea2

  • 1Biomedical Translational Imaging Centre (BIOTIC), IWK Health Centre Halifax, NS, Canada.

Frontiers in Neuroscience
|November 13, 2014
PubMed
Summary

The Microsoft Kinect significantly improves accuracy and speed for digitizing head surfaces in magnetoencephalography (MEG) and MRI co-registration, enhancing brain activity localization.

Keywords:
Microsoft Kinectalignmentcolor recognitionhead position indicator (HPI)laser scannerlocalizationmagnetoencephalography (MEG)

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Accurate localization of neuromagnetic activity in magnetoencephalography (MEG) relies on precise co-registration with structural magnetic resonance imaging (MRI).
  • The accuracy of MEG-MRI co-registration is critically dependent on the precise digitization of anatomical landmarks on the head's surface.

Purpose of the Study:

  • To compare the performance of three digitization devices—Polhemus electromagnetic system, NextEngine laser scanner, and Microsoft Kinect for Windows—for source localization and MEG-MRI co-registration.
  • To evaluate the accuracy, speed, and efficiency of head surface digitization for MEG applications.

Main Methods:

  • A calibrated phantom was used to verify source localization accuracy.
  • MEG-MRI co-registration accuracy was assessed using data from five healthy participants.
  • Digitization performance was evaluated based on accuracy, data capture rate, time efficiency, and real-time alignment capabilities.

Main Results:

  • The Kinect demonstrated superior source localization accuracy, improving it by 137% over the Polhemus and 50% over the laser scanner.
  • The Kinect captured significantly more surface points (2000x more than Polhemus) in less time (1 min vs. 3 min).
  • MEG-MRI co-registration error was reduced by 2.85 mm with the Kinect compared to the Polhemus, and was equivalent to the laser scanner, with real-time alignment reducing limitations from head movement.

Conclusions:

  • The Microsoft Kinect is an effective and accurate device for head digitization in MEG.
  • It provides the necessary accuracy for source localization and MEG-MRI co-registration.
  • The Kinect offers reduced digitization time and improved efficiency, making it a valuable tool for MEG research.