Literature DB >> 23033325

Improved localization accuracy in magnetic source imaging using a 3-D laser scanner.

Timothy Bardouille1, Santosh V Krishnamurthy, Sujoy Ghosh Hajra, Ryan C N D'Arcy.   

Abstract

Brain source localization accuracy in magnetoencephalography (MEG) requires accuracy in both digitizing anatomical landmarks and coregistering to anatomical magnetic resonance images (MRI). We compared the source localization accuracy and MEG-MRI coregistration accuracy of two head digitization systems-a laser scanner and the current standard electromagnetic digitization system (Polhemus)-using a calibrated phantom and human data. When compared using the calibrated phantom, surface and source localization accuracy for data acquired with the laser scanner improved over the Polhemus by 141% and 132%, respectively. Laser scan digitization reduced MEG source localization error by 1.38 mm on average. In human participants, a laser scan of the face generated a 1000-fold more points per unit time than the Polhemus head digitization. An automated surface-matching algorithm improved the accuracy of MEG-MRI coregistration over the equivalent manual procedure. Simulations showed that the laser scan coverage could be reduced to an area around the eyes only while maintaining coregistration accuracy, suggesting that acquisition time can be substantially reduced. Our results show that the laser scanner can both reduce setup time and improve localization accuracy, in comparison to the Polhemus digitization system.

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Year:  2012        PMID: 23033325     DOI: 10.1109/TBME.2012.2220356

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  8 in total

1.  Validity of the 3D VECTRA photogrammetric surface imaging system for cranio-maxillofacial anthropometric measurements.

Authors:  Philipp Metzler; Yi Sun; Wolfgang Zemann; Alexander Bartella; Marc Lehner; Joachim Anton Obwegeser; Astrid L Kruse-Gujer; Heinz-Theo Lübbers
Journal:  Oral Maxillofac Surg       Date:  2013-04-05

2.  Head movement compensation in real-time magnetoencephalographic recordings.

Authors:  Graham Little; Shaun Boe; Timothy Bardouille
Journal:  MethodsX       Date:  2014-11-03

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

Authors:  Santosh Vema Krishna Murthy; Matthew MacLellan; Steven Beyea; Timothy Bardouille
Journal:  Front Neurosci       Date:  2014-10-28       Impact factor: 4.677

4.  Optical Co-registration of MRI and On-scalp MEG.

Authors:  Rasmus Zetter; Joonas Iivanainen; Lauri Parkkonen
Journal:  Sci Rep       Date:  2019-04-02       Impact factor: 4.379

5.  A comparison of automated and manual co-registration for magnetoencephalography.

Authors:  Jon M Houck; Eric D Claus
Journal:  PLoS One       Date:  2020-04-29       Impact factor: 3.240

6.  OMMR: Co-registration toolbox of OPM-MEG and MRI.

Authors:  Fuzhi Cao; Nan An; Weinan Xu; Wenli Wang; Wen Li; Chunhui Wang; Yanfei Yang; Min Xiang; Yang Gao; Xiaolin Ning
Journal:  Front Neurosci       Date:  2022-09-15       Impact factor: 5.152

7.  Localizing on-scalp MEG sensors using an array of magnetic dipole coils.

Authors:  Christoph Pfeiffer; Lau M Andersen; Daniel Lundqvist; Matti Hämäläinen; Justin F Schneiderman; Robert Oostenveld
Journal:  PLoS One       Date:  2018-05-10       Impact factor: 3.240

8.  Requirements for Coregistration Accuracy in On-Scalp MEG.

Authors:  Rasmus Zetter; Joonas Iivanainen; Matti Stenroos; Lauri Parkkonen
Journal:  Brain Topogr       Date:  2018-06-22       Impact factor: 3.020

  8 in total

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