In-vivo multilaboratory investigation of the optical properties of the human head.

The in-vivo optical properties of the human head are investigated in the 600-1100 nm range on different subjects using continuous wave and time domain diffuse optical spectroscopy. The work was performed in collaboration with different research groups and the different techniques were applied to the same subject. Data analysis was carried out using homogeneous and layered models and final results were also confirmed by Monte Carlo simulations. The depth sensitivity of each technique was investigated and related to the probed region of the cerebral tissue. This work, based on different validated instruments, is a contribution to fill the existing gap between the present knowledge and the actual in-vivo values of the head optical properties.

[1]  Jae Hoon Lee,et al.  Near‐Infrared Light Propagation in an Adult Head Model with Refractive Index Mismatch , 2005 .

[2]  Fabrizio Martelli,et al.  Equivalence of four Monte Carlo methods for photon migration in turbid media. , 2012, Journal of the Optical Society of America. A, Optics, image science, and vision.

[3]  F. Pfeiffer,et al.  Microbubbles as a scattering contrast agent for grating-based x-ray dark-field imaging , 2013, Physics in medicine and biology.

[4]  Andrea Farina,et al.  Portable, large-bandwidth time-resolved system for diffuse optical spectroscopy. , 2007, Optics express.

[5]  A Taddeucci,et al.  Optical properties of brain tissue. , 1996, Journal of biomedical optics.

[6]  Piotr Sawosz,et al.  Assessment of inflow and washout of indocyanine green in the adult human brain by monitoring of diffuse reflectance at large source-detector separation. , 2011, Journal of biomedical optics.

[7]  Paola Taroni,et al.  Time-Resolved Diffuse Optical Spectroscopy up to 1700 nm by Means of a Time-Gated InGaAs/InP Single-Photon Avalanche Diode , 2012, Applied spectroscopy.

[8]  Ilaria Bargigia,et al.  Nondestructive optical detection of monomer uptake in wood polymer composites. , 2014, Optics letters.

[9]  Martin Wolf,et al.  Noninvasive determination of the optical properties of adult brain: near-infrared spectroscopy approach. , 2004, Journal of biomedical optics.

[10]  Paola Taroni,et al.  Absorption spectroscopy of powdered materials using time-resolved diffuse optical methods. , 2012, Applied optics.

[11]  M. Patterson,et al.  Improved solutions of the steady-state and the time-resolved diffusion equations for reflectance from a semi-infinite turbid medium. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.

[12]  S. Jacques Optical properties of biological tissues: a review , 2013, Physics in medicine and biology.

[13]  E. Okada,et al.  Monte Carlo prediction of near-infrared light propagation in realistic adult and neonatal head models. , 2003, Applied optics.

[14]  P. Marquet,et al.  In vivo local determination of tissue optical properties: applications to human brain. , 1999, Applied optics.

[15]  David A Boas,et al.  Comparison of a layered slab and an atlas head model for Monte Carlo fitting of time-domain near-infrared spectroscopy data of the adult head , 2014, Journal of biomedical optics.

[16]  Davide Contini,et al.  Time domain functional NIRS imaging for human brain mapping , 2014, NeuroImage.

[17]  Yukio Yamada,et al.  Time-Resolved Measurements of in vivo Optical Properties of Piglet Brain , 2000 .

[18]  D. Boas,et al.  Effective scattering coefficient of the cerebral spinal fluid in adult head models for diffuse optical imaging. , 2006, Applied optics.

[19]  A Taddeucci,et al.  Photon migration through a turbid slab described by a model based on diffusion approximation. II. Comparison with Monte Carlo results. , 1997, Applied optics.

[20]  Sergio Fantini,et al.  Optical Characterization of Two-Layered Turbid Media for Non-Invasive, Absolute Oximetry in Cerebral and Extracerebral Tissue , 2013, PloS one.

[21]  D T Delpy,et al.  Near-infrared spectroscopy of the adult head: effect of scattering and absorbing obstructions in the cerebrospinal fluid layer on light distribution in the tissue. , 2000, Applied optics.

[22]  Fabrizio Martelli,et al.  Solution of the time-dependent diffusion equation for a three-layer medium: application to study photon migration through a simplified adult head model. , 2007, Physics in medicine and biology.

[23]  M. Schweiger,et al.  Theoretical and experimental investigation of near-infrared light propagation in a model of the adult head. , 1997, Applied optics.

[24]  Harold Ellis Anatomy of head injury , 2004 .

[25]  Eiji Okada,et al.  Analysis of Light Propagation in a Realistic Head Model by a Hybrid Method for Optical Brain Function Measurement , 2005 .

[26]  David T. Delpy,et al.  Optical properties of brain tissue , 1993, Photonics West - Lasers and Applications in Science and Engineering.

[27]  M. Kohl,et al.  Near-infrared optical properties of ex vivo human skin and subcutaneous tissues measured using the Monte Carlo inversion technique. , 1998, Physics in medicine and biology.

[28]  Arjun G. Yodh,et al.  Diffuse correlation spectroscopy for non-invasive, micro-vascular cerebral blood flow measurement , 2014, NeuroImage.

[29]  D. Delpy,et al.  Near-infrared light propagation in an adult head model. II. Effect of superficial tissue thickness on the sensitivity of the near-infrared spectroscopy signal. , 2003, Applied optics.

[30]  A. Villringer,et al.  Non-invasive optical spectroscopy and imaging of human brain function , 1997, Trends in Neurosciences.

[31]  I. Yaroslavsky,et al.  Optical properties of selected native and coagulated human brain tissues in vitro in the visible and near infrared spectral range. , 2002, Physics in medicine and biology.

[32]  R. Cubeddu,et al.  In vivo time-resolved reflectance spectroscopy of the human forehead. , 2007, Applied optics.

[33]  A. Kienle,et al.  Fully automated spatially resolved reflectance spectrometer for the determination of the absorption and scattering in turbid media. , 2011, The Review of scientific instruments.

[34]  F. Martelli,et al.  Penetration depth of light re-emitted by a diffusive medium: theoretical and experimental investigation. , 2002, Physics in medicine and biology.

[35]  Qingming Luo,et al.  Detection of optical neuronal signals in the visual cortex using continuous wave near-infrared spectroscopy , 2014, NeuroImage.

[36]  D. Delpy,et al.  Near-infrared light propagation in an adult head model. I. Modeling of low-level scattering in the cerebrospinal fluid layer. , 2003, Applied optics.

[37]  J. E. Glynn,et al.  Numerical Recipes: The Art of Scientific Computing , 1989 .

[38]  A. Dale,et al.  Robust inference of baseline optical properties of the human head with three-dimensional segmentation from magnetic resonance imaging. , 2003, Applied optics.

[39]  Martin Wolf,et al.  A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology , 2014, NeuroImage.

[40]  F Martelli,et al.  Performance of fitting procedures in curved geometry for retrieval of the optical properties of tissue from time-resolved measurements. , 2001, Applied optics.

[41]  Britton Chance,et al.  In vivo determination of the optical properties of infant brain using frequency-domain near-infrared spectroscopy. , 2005, Journal of biomedical optics.

[42]  M. Patterson,et al.  Noninvasive determination of the optical properties of two-layered turbid media , 1998 .

[43]  Alessandro Torricelli,et al.  Phantom validation and in vivo application of an inversion procedure for retrieving the optical properties of diffusive layered media from time-resolved reflectance measurements. , 2004, Optics letters.

[44]  A. Welch,et al.  A review of the optical properties of biological tissues , 1990 .

[45]  Marco Ferrari,et al.  A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application , 2012, NeuroImage.

[46]  David Boas Welcome to Neurophotonics. , 2014, Neurophotonics.

[47]  D T Delpy,et al.  Measurement of the optical properties of the skull in the wavelength range 650-950 nm , 1993, Physics in medicine and biology.

[48]  Gian Luca Romani,et al.  Fast optical signal in visual cortex: Improving detection by General Linear Convolution Model , 2013, NeuroImage.