Paper
1 January 1987 Evaluation Of Algorithms For A Squid Detector Neuromagnetic Imaging System
Richard Leahy, Brian Jeffe, Manbir Singh, Ricardo Brechner
Author Affiliations +
Abstract
The SQUID based biomagnetometer has been widely used to measure the external magnetic field produced by neural activity. In this paper we consider the viability of using this data to reconstruct three dimensional neuromagnetic images (NMI) of an equivalent electrical current distribution within the brain which would produce the measured magnetic field. The fundamental limitations on this mode of imaging are evaluated and possible physical models and mathematical formulations of the problem are proposed. Several algorithms often used in medical image reconstruction are applied to the problem and their performance evaluated. We conclude that the reconstruction problem is highly ill-posed, and that conventional image reconstruction algorithms are inadequate for 3-D NMI. A class of solutions we call 'minimum dipole' is shown to provide more accurate reconstructions of simple current distributions.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard Leahy, Brian Jeffe, Manbir Singh, and Ricardo Brechner "Evaluation Of Algorithms For A Squid Detector Neuromagnetic Imaging System", Proc. SPIE 0767, Medical Imaging, (1 January 1987); https://doi.org/10.1117/12.966974
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Magnetism

Reconstruction algorithms

Brain

Sensors

3D image reconstruction

3D modeling

Detection and tracking algorithms

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