title: Optical characterization of two-layered turbid media for non-invasive, absolute oximetry in cerebral and extracerebral tissue.
abstract: We introduce a multi-distance, frequency-domain, near-infrared spectroscopy (NIRS) method to measure the optical coefficients of two-layered media and the thickness of the top layer from diffuse reflectance measurements. This method features a direct solution based on diffusion theory and an inversion procedure based on the Levenberg-Marquardt algorithm. We have validated our method through Monte Carlo simulations, experiments on tissue-like phantoms, and measurements on the forehead of three human subjects. The Monte Carlo simulations and phantom measurements have shown that, in ideal two-layered samples, our method accurately recovers the top layer thickness (L), the absorption coefficient (µ a ) and the reduced scattering coefficient (µ' s ) of both layers with deviations that are typically less than 10% for all parameters. Our method is aimed at absolute measurements of hemoglobin concentration and saturation in cerebral and extracerebral tissue of adult human subjects, where the top layer (layer 1) represents extracerebral tissue (scalp, skull, dura mater, subarachnoid space, etc.) and the bottom layer (layer 2) represents cerebral tissue. Human subject measurements have shown a significantly greater total hemoglobin concentration in cerebral tissue (82±14 µM) with respect to extracerebral tissue (30±7 µM). By contrast, there was no significant difference between the hemoglobin saturation measured in cerebral tissue (56%±10%) and extracerebral tissue (62%±6%). To our knowledge, this is the first time that an inversion procedure in the frequency domain with six unknown parameters with no other prior knowledge is used for the retrieval of the optical coefficients and top layer thickness with high accuracy on two-layered media. Our absolute measurements of cerebral hemoglobin concentration and saturation are based on the discrimination of extracerebral and cerebral tissue layers, and they can enhance the impact of NIRS for cerebral hemodynamics and oxygenation assessment both in the research arena and clinical practice.
authors.affiliation: Department of Biomedical Engineering, Tufts University, Medford, Massachusetts, USA. bertan.hallacoglu@tufts.edu
authors.forename: Bertan
authors.initials: B
authors.lastname: Hallacoglu
authors.forename: Angelo
authors.initials: A
authors.lastname: Sassaroli
authors.forename: Sergio
authors.initials: S
authors.lastname: Fantini
mesh_terms: D000328:Adult; D000465:Algorithms; D003198:Computer Simulation; D005546:Forehead; D006801:Humans; D008297:Male; D008953:Models, Anatomic; D009010:Monte Carlo Method; D010092:Oximetry; D019047:Phantoms, Imaging; D019265:Spectroscopy, Near-Infrared / Q000295:instrumentation / Q000379:methods*