1 July 2000 Theoretical foundations for non-invasive measurement of variations in the width of the subarachnoid space
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J. of Biomedical Optics, 5(3), (2000). doi:10.1117/1.429999
Abstract
Numerical modeling was used for the theoretical analysis of the propagation of optical radiation in the tissues of the human head, generated by a single source placed on the surface of the scalp. Of special interest and importance is the propagation of radiation within the layer of cerebrospinal fluid contained in the subarachnoid space (SAS), which is the only low absorption/high transmittance medium whose width can vary rapidly. Qualitative and quantitative assessment of changes in propagation of radiation within the SAS could become a source of information on changes in the geometry of this anatomical compartment playing a crucial role in cranio-spinal physiology and pathology. Essential for the idea of the possible noninvasive assessment of changes in width of the SAS by an optical method is the dependence of intensity of radiation reaching a photodetector located at a certain distance from the source on changes in the width of this fluid layer, which acts like a biological optical waveguide. Monte Carlo modeling and numerical analysis confirmed the feasibility of assessing changes in the width of the subarachnoid space optically. Presented here are details of the Monte Carlo simulation of light propagation in the tissues of human head and the results of such simulation as a function of the width of the subarachnoid space, calculated for different distances between the source and detector and for a few selected values of bone thickness. Results of numerical modeling were then compared with those of experiments on a mechanical-optical model.
Jerzy Plucinski, Andrzej F. Frydrychowski, Jacek Kaczmarek, Witold Juzwa, "Theoretical foundations for non-invasive measurement of variations in the width of the subarachnoid space," Journal of Biomedical Optics 5(3), (1 July 2000). http://dx.doi.org/10.1117/1.429999
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KEYWORDS
Photons

Bone

Tissues

Sensors

Brain

Tissue optics

Skin

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