Dual-slope method for enhanced depth sensitivity in diffuse optical spectroscopy.

Using diffusion theory, we show that a dual-slope method is more effective than single-slope methods or single-distance methods at enhancing sensitivity to deeper tissue. The dual-slope method requires a minimum of two sources and two detectors arranged in specially configured arrays. In particular, we present diffusion theory results for a symmetrical linear array of two sources (separated by 55 mm) that sandwich two detectors (separated by 15 mm), for which dual slopes achieve maximal sensitivity at a depth of about 5 mm for direct current (DC) intensity (as measured in continuous-wave spectroscopy) and 11 mm for phase (as measured in frequency-domain spectroscopy) under typical values of the tissue optical properties (absorption coefficient: ∼0.01mm-1, reduced scattering coefficient: ∼1mm-1). This result is a major advance over single-distance or single-slope data, which feature maximal sensitivity to shallow tissue (<2mm for the intensity, <5mm for the phase).

[1]  L. Gygax,et al.  Valence and Intensity of Video Stimuli of Dogs and Conspecifics in Sheep: Approach-Avoidance, Operant Response, and Attention , 2018, Animals : an open access journal from MDPI.

[2]  E Gratton,et al.  Influence of a superficial layer in the quantitative spectroscopic study of strongly scattering media. , 1998, Applied optics.

[3]  Sergio Fantini,et al.  Frequency-resolved analysis of coherent oscillations of local cerebral blood volume, measured with near-infrared spectroscopy, and systemic arterial pressure in healthy human subjects , 2019, PloS one.

[4]  Bo Qiang,et al.  Development of a handheld near-infrared imager for dynamic characterization of in vivo biological tissue systems. , 2007, Applied optics.

[5]  Sergio Fantini,et al.  Phasor representation of oxy- and deoxyhemoglobin concentrations: what is the meaning of out-of-phase oscillations as measured by near-infrared spectroscopy? , 2010, Journal of biomedical optics.

[6]  F. Martelli,et al.  Perturbation theory for the diffusion equation by use of the moments of the generalized temporal point-spread function. III. Frequency-domain and time-domain results. , 2010, Journal of the Optical Society of America. A, Optics, image science, and vision.

[7]  J. Sørensen,et al.  Herd- and sow-related risk factors for lameness in organic and conventional sow herds. , 2014, Animal : an international journal of animal bioscience.

[8]  Sergio Fantini,et al.  Dynamic model for the tissue concentration and oxygen saturation of hemoglobin in relation to blood volume, flow velocity, and oxygen consumption: Implications for functional neuroimaging and coherent hemodynamics spectroscopy (CHS) , 2014, NeuroImage.

[9]  B. Chance,et al.  Photon migration in the presence of a single defect: a perturbation analysis. , 1995, Applied optics.

[10]  Martin Wolf,et al.  A New Approach for Automatic Removal of Movement Artifacts in Near-Infrared Spectroscopy Time Series by Means of Acceleration Data , 2015, Algorithms.

[11]  S. Fantini,et al.  Comment on the modified Beer-Lambert law for scattering media. , 2004, Physics in medicine and biology.

[12]  S. Arridge,et al.  Estimation of optical pathlength through tissue from direct time of flight measurement , 1988 .

[13]  E. Gratton,et al.  Non-invasive optical monitoring of the newborn piglet brain using continuous-wave and frequency-domain spectroscopy. , 1999, Physics in medicine and biology.

[14]  David A. Boas,et al.  Factors affecting the accuracy of near-infrared spectroscopy concentration calculations for focal changes in oxygenation parameters , 2003, NeuroImage.

[15]  D Contini,et al.  Photon migration through a turbid slab described by a model based on diffusion approximation. I. Theory. , 1997, Applied optics.

[16]  Martin Wolf,et al.  Reproducibility of cerebral tissue oxygen saturation measurements by near-infrared spectroscopy in newborn infants. , 2010, Journal of biomedical optics.

[17]  Martin Wolf,et al.  In vivo precision assessment of a near-infrared spectroscopy-based tissue oximeter (OxyPrem v1.3) in neonates considering systemic hemodynamic fluctuations , 2018, Journal of biomedical optics.

[18]  Alessandro Torricelli,et al.  Evaluation of Sheep Anticipatory Response to a Food Reward by Means of Functional Near-Infrared Spectroscopy , 2018, Animals : an open access journal from MDPI.

[19]  Yukio Kobayashi,et al.  Tissue oxygenation monitor using NIR spatially resolved spectroscopy , 1999, Photonics West - Biomedical Optics.

[20]  Henning B. Nielsen,et al.  Systematic review of near-infrared spectroscopy determined cerebral oxygenation during non-cardiac surgery , 2014, Front. Physiol..

[21]  C. Elwell,et al.  Multi-channel multi-distance broadband near-infrared spectroscopy system to measure the spatial response of cellular oxygen metabolism and tissue oxygenation , 2016, Biomedical optics express.

[22]  Blood phantom verification of a new compact DOT system , 2016 .

[23]  Albert E. Cerussi,et al.  New optical probe designs for absolute (self-calibrating) NIR tissue hemoglobin measurements , 1999, Photonics West - Biomedical Optics.

[24]  Paola Taroni,et al.  Review of optical breast imaging and spectroscopy , 2016, Journal of biomedical optics.

[25]  Sergio Fantini,et al.  Photon path distributions in turbid media: applications for imaging , 1995, Photonics West.

[26]  E Gratton,et al.  Quantitative determination of the absorption spectra of chromophores in strongly scattering media: a light-emitting-diode based technique. , 1994, Applied optics.

[27]  Simon Hyttel-Sorensen,et al.  In vivo validation of cerebral near-infrared spectroscopy: a review , 2018, Neurophotonics.

[28]  W. Feng,et al.  A Systemic Review of Functional Near-Infrared Spectroscopy for Stroke: Current Application and Future Directions , 2019, Front. Neurol..

[29]  F. Scholkmann,et al.  Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging in Exercise–Cognition Science: A Systematic, Methodology-Focused Review , 2018, Journal of clinical medicine.

[30]  Kota Ogawa,et al.  Aphid polyphenisms: trans-generational developmental regulation through viviparity , 2013, Front. Physiol..

[31]  F. Scholkmann,et al.  Measuring tissue hemodynamics and oxygenation by continuous-wave functional near-infrared spectroscopy—how robust are the different calculation methods against movement artifacts? , 2014, Physiological measurement.

[32]  Parisa Farzam,et al.  Combined multi-distance frequency domain and diffuse correlation spectroscopy system with simultaneous data acquisition and real-time analysis. , 2017, Biomedical optics express.

[33]  P Achermann,et al.  Changes of cerebral tissue oxygen saturation at sleep transitions in adolescents. , 2014, Advances in experimental medicine and biology.

[34]  E. Gratton,et al.  Frequency-domain multichannel optical detector for noninvasive tissue spectroscopy and oximetry , 1995 .

[35]  Martin Wolf,et al.  A Review of near Infrared Spectroscopy for Term and Preterm Newborns , 2012 .

[36]  Yihong Yang,et al.  Noninvasive quantification of cerebral blood volume in humans during functional activation , 2006, NeuroImage.

[37]  S. Arridge,et al.  A Monte Carlo investigation of optical pathlength in inhomogeneous tissue and its application to near-infrared spectroscopy. , 1993, Physics in medicine and biology.

[38]  Yukio Yamada,et al.  Overview of diffuse optical tomography and its clinical applications , 2016, Journal of biomedical optics.

[39]  Alun D. Hughes,et al.  Recent developments in near-infrared spectroscopy (NIRS) for the assessment of local skeletal muscle microvascular function and capacity to utilise oxygen , 2016, Artery research.

[40]  M Wolf,et al.  Comparison of tissue oximeters on a liquid phantom with adjustable optical properties. , 2016, Biomedical optics express.

[41]  Sergio Fantini,et al.  Perturbation theory for the diffusion equation by use of the moments of the generalized temporal point-spread function. I. Theory. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

[42]  Simon Hyttel-Sorensen,et al.  Tissue oximetry: a comparison of mean values of regional tissue saturation, reproducibility and dynamic range of four NIRS-instruments on the human forearm , 2011, Biomedical optics express.