Investigation of the effect of discrete absorbers upon the measurement of blood volume with near-infrared spectroscopy.

This paper derives an analytical model for investigating the effect of the distribution of absorbers upon light attenuation in a scattering medium. Results from this are found to agree with those of Monte Carlo simulations. The implications of this model are then examined for their likely effect upon the measurement of cerebral blood volume (CBV) using near-infrared (NIR) spectroscopy. We conclude that, given the small diameter of the majority of cerebral blood vessels, the distribution of the blood will have little effect upon the measurement of CBV. Where changes to the blood volume occur in the larger (> 0.2 mm diameter) vessels on the surface of the brain, NIR spectroscopy is likely to underestimate the change.

[1]  F. P. Bolin,et al.  Refractive index of some mammalian tissues using a fiber optic cladding method. , 1989, Applied optics.

[2]  D. Delpy,et al.  Quantification of adult cerebral hemodynamics by near-infrared spectroscopy. , 1994, Journal of applied physiology.

[3]  D. Delpy,et al.  COTSIDE MEASUREMENT OF CEREBRAL BLOOD FLOW IN ILL NEWBORN INFANTS BY NEAR INFRARED SPECTROSCOPY , 1988, The Lancet.

[4]  D. R. White,et al.  The composition of body tissues (II). Fetus to young adult. , 1991, The British journal of radiology.

[5]  D. Delpy,et al.  A design for a stable and reproducible phantom for use in near infra-red imaging and spectroscopy , 1993 .

[6]  D. Delpy,et al.  Quantitation of cerebral blood volume in human infants by near-infrared spectroscopy. , 1990, Journal of applied physiology.

[7]  B. Wilson,et al.  Time resolved reflectance and transmittance for the non-invasive measurement of tissue optical properties. , 1989, Applied optics.

[8]  M Essenpreis,et al.  The influence of glucose concentration upon the transport of light in tissue-simulating phantoms. , 1995, Physics in medicine and biology.

[9]  B Chance,et al.  A dynamic phantom brain model for near-infrared spectroscopy. , 1995, Physics in medicine and biology.

[10]  J H Halsey,et al.  Pressure Distribution in the Pial Arterial System of Rats Based on Morphometric Data and Mathematical Models , 1987, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[11]  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.

[12]  F. Sakai,et al.  Journal of Cerebral Blood Flow and Metabolism Regional Cerebral Blood Volume and Hematocrit Measured in Normal Human Volunteers by Single-photon Emission Computed Tomography , 2022 .

[13]  M. Copet,et al.  A Monte Carlo investigation of optical pathlength in inhomogeneous tissue and its application to near-infrared spectroscopy , 1993 .

[14]  J Marshall,et al.  In vivo Measurement of Regional Cerebral Haematocrit Using Positron Emission Tomography , 1984, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[15]  C. Piantadosi,et al.  Near infrared monitoring of human skeletal muscle oxygenation during forearm ischemia. , 1988, Journal of applied physiology.

[16]  D. Delpy,et al.  Performance comparison of several published tissue near-infrared spectroscopy algorithms. , 1995, Analytical biochemistry.

[17]  Britton Chance,et al.  Influence of blood vessels on the measurement of hemoglobin oxygenation as determined by time-resolved reflectance spectroscopy. , 1995, Medical physics.

[18]  H. Duvernoy,et al.  Cortical blood vessels of the human brain , 1981, Brain Research Bulletin.

[19]  Barley Sl.  Letter: Blood-ethanol in liver disease. , 1975 .

[20]  S R Arridge,et al.  The theoretical basis for the determination of optical pathlengths in tissue: temporal and frequency analysis. , 1992, Physics in medicine and biology.