14 September 1993 Use of noise and signal-source covariance matrices in reconstructing biocurrent distributions from biomagnetic measurements
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Proceedings Volume 1896, Medical Imaging 1993: Physics of Medical Imaging; (1993); doi: 10.1117/12.154613
Event: Medical Imaging 1993, 1993, Newport Beach, CA, United States
Abstract
This paper proposes three methods for reconstructing magnetic-source biocurrent distribution. These methods are more effective than the conventional pseudo-inversion-based reconstruction when the signal-to-noise ratio of measured data is low. First, a method of estimating magnetic- source-current covariance matrix using the measured-data covariance matrix is presented, and an averaged current squared-intensity distribution is reconstructed using the diagonal terms of the covariance matrix. The use of its off-diagonal terms leads to the second method that can separate magnetic-source activities correlated to each other from the uncorrelated activities. The third method is the Wiener reconstruction of current distributions based on the estimated source covariance matrix. Results of computer simulation demonstrate the effectiveness of those three methods.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kensuke Sekihara, Bernard Scholz, "Use of noise and signal-source covariance matrices in reconstructing biocurrent distributions from biomagnetic measurements", Proc. SPIE 1896, Medical Imaging 1993: Physics of Medical Imaging, (14 September 1993); doi: 10.1117/12.154613; https://doi.org/10.1117/12.154613
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KEYWORDS
Signal to noise ratio

Sensors

Brain

Magnetism

Computer simulations

Interference (communication)

Medical imaging

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