Multiresolution MEG (Magnetoencephalography) Imaging By Adaptive Beamformer Scanning

D. Hwang, S. S. Nagarajan, O. Portniaguine, K. Sekihara

Research output: Contribution to journalConference article

Abstract

There is a tradeoff between the spatial resolution and the speed of beamformer MEG imaging method. For clinical purposes, source localization for large volumes of MEG/EEG data such as epileptic spike data needs to be performed quickly, accurately, and automatically. In an effort to meet these requirements we have developed multiresolution beamformer MEG imaging technique to localize brain electrical activity with high speed and fine resolution. To avoid scanning the areas without activity, the method iteratively refines the grid only in the areas where activity has been detected. The method produces significant savings in processing time. Numerical experiment shows 400 times speed up in comparison with conventional beamformer method.

Original languageEnglish
Pages (from-to)955-958
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
Publication statusPublished - 2003 Dec 1
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: 2003 Sep 172003 Sep 21

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Magnetoencephalography
Scanning
Imaging techniques
Electroencephalography
Brain
Processing
Experiments

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

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abstract = "There is a tradeoff between the spatial resolution and the speed of beamformer MEG imaging method. For clinical purposes, source localization for large volumes of MEG/EEG data such as epileptic spike data needs to be performed quickly, accurately, and automatically. In an effort to meet these requirements we have developed multiresolution beamformer MEG imaging technique to localize brain electrical activity with high speed and fine resolution. To avoid scanning the areas without activity, the method iteratively refines the grid only in the areas where activity has been detected. The method produces significant savings in processing time. Numerical experiment shows 400 times speed up in comparison with conventional beamformer method.",
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Multiresolution MEG (Magnetoencephalography) Imaging By Adaptive Beamformer Scanning. / Hwang, D.; Nagarajan, S. S.; Portniaguine, O.; Sekihara, K.

In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 1, 01.12.2003, p. 955-958.

Research output: Contribution to journalConference article

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