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Improving MEG performance with additional tangential sensors.
Nurminen, Jussi; Taulu, Samu; Nenonen, Jukka; Helle, Liisa; Simola, Juha; Ahonen, Antti.
Afiliação
  • Nurminen J; BioMag Laboratory, HUS Medical Imaging Center, Hospital District of Helsinki and Uusimaa, Helsinki FI-00029, Finland. jussi@biomag.hus.fi
IEEE Trans Biomed Eng ; 60(9): 2559-66, 2013 Sep.
Article em En | MEDLINE | ID: mdl-23649129
ABSTRACT
Recently, the signal space separation (SSS) method, based on the multipole expansion of the magnetic field, has become increasingly important in magnetoencephalography (MEG). Theoretical arguments and simulations suggest that increasing the asymmetry of the MEG sensor array from the traditional, rather symmetric geometry can significantly improve the performance of the method. To test this concept, we first simulated addition of tangentially oriented standard sensor elements to the existing 306-channel Elekta Neuromag sensor array, and evaluated and optimized the performance of the new sensor configuration. Based on the simulation results, we then constructed a prototype device with 18 additional tangential triple-sensor elements and a total of 360 channels. The experimental results from the prototype are largely in agreement with the simulations. In application of the spatial SSS method, the 360-channel device shows an approximately 100% increase in software shielding capability, while residual reconstruction noise of evoked responses is decreased by 20%. Further, the new device eliminates the need for regularization while applying the SSS method. In conclusion, we have demonstrated in practice the benefit of reducing the symmetry of the MEG array, without the need for a complete redesign.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / Magnetoencefalografia / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Adult / Humans Idioma: En Revista: IEEE Trans Biomed Eng Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Finlândia

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / Magnetoencefalografia / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Adult / Humans Idioma: En Revista: IEEE Trans Biomed Eng Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Finlândia