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1 November 1990 Model-dependent noise elimination and distributed source solutions for the biomagnetic inverse problem
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Abstract
Biomagnetic data are analysed with methods which do not involve point source descriptions. A vector signal transformation, previously defined, is generalised to reveal localised features at different scales in developing chick embryos in ovo. A powerful, but computationally intensive method is applied to a range of evoked MEG signals. Post-inversion temporal filtering is finally used to reveal a weak signal which seems to be generated at a surprisingly distant source. In short this work demonstrates the versatility and power of modern biomagnetic techniques in detecting, sizing and imaging the impressed current density generated by biological function in a completely non-invasive fashion.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andreas A. Ioannidis, R. Hasson, and G. J. Miseldine "Model-dependent noise elimination and distributed source solutions for the biomagnetic inverse problem", Proc. SPIE 1351, Digital Image Synthesis and Inverse Optics, (1 November 1990); https://doi.org/10.1117/12.23657
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