Journal of Computer Engineering & Information TechnologyISSN : 2324-9307

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Research Article, J Comput Eng Inf Technol Vol: 5 Issue: 3

Computing Resolution for Neuromagnetic Imaging Systems

Sekihara K*
Signal Analysis Inc. Hachioji, Tokyo, Japan
Department of Advanced Technology in Medicine Tokyo Medical and Dental University 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519, Japan
Corresponding author : Kensuke Sekihara
Department of Advanced Technology in Medicine Tokyo Medical and Dental University 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519, Japan and Signal Analysis Inc. Hachioji, Tokyo 192-0031, Japan
Tel: 81-42-585-8642
Fax: 81-42-585-8642
E-mail: [email protected]
Received: June 02, 2016 Accepted: June 10, 2016 Published: June 17, 2016
Citation: Sekihara K (2016) Computing Resolution for Neuromagnetic Imaging Systems. J Comput Eng Inf Technol 5:3. doi:10.4172/2324-9307.1000150

Abstract

Computing Resolution for Neuromagnetic Imaging Systems

This paper proposes a novel signal-detection-theory-based definition for the resolution of Neuromagnetic imaging systems, and develops a Monte Carlo computer simulation method to compute the resolution. Using the resolution as a performance measure, the performance of various types of sensor hardware is assessed. The assessments include performance improvements due to the increase in the number of sensors and performance changes due to the change in the gradiometer baseline or change in the helmet size. We compare the performance difference between planar and axial gradiometer arrays, and also compare the performance between the conventional radial sensor array and a vector sensor array. We compute the resolution of two existing Neuromagnetic sensor arrays, MEGvisionTM (Yokogawa Electric Corporation, Tokyo, Japan) and Elekta-Neuromag TRIUXTM (Elekta Corporate, Stockholm, Sweden).

Keywords: Monte carlo method; Computing resolution; Neuromagnetic imaging systems

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