Model-dependent noise elimination and distributed source solutions for the biomagnetic inverse problem

Andreas A. Ioannidis; R. Hasson; G. J. Miseldine

doi:10.1117/12.23657

1 November 1990 Model-dependent noise elimination and distributed source solutions for the biomagnetic inverse problem

Andreas A. Ioannidis, R. Hasson, G. J. Miseldine

Proceedings Volume 1351, Digital Image Synthesis and Inverse Optics; (1990) https://doi.org/10.1117/12.23657
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

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.

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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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