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 |
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| 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: k-sekihara@nifty.com |
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| 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).
