Robust estimation of cerebral hemodynamics in neonates using multilayered diffusion model for normal and oblique incidences

Idan Steinberg, Osnat Harbater, Israel Gannot

Research output: Contribution to journalArticle

Abstract

The diffusion approximation is useful for many optical diagnostics modalities, such as near-infrared spectroscopy. However, the simple normal incidence, semi-infinite layer model may prove lacking in estimation of deep-tissue optical properties such as required for monitoring cerebral hemodynamics, especially in neonates. To answer this need, we present an analytical multilayered, oblique incidence diffusion model. Initially, the model equations are derived in vector-matrix form to facilitate fast and simple computation. Then, the spatiotemporal reflectance predicted by the model for a complex neonate head is compared with time-resolved Monte Carlo (TRMC) simulations under a wide range of physiologically feasible parameters. The high accuracy of the multilayer model is demonstrated in that the deviation from TRMC simulations is only a few percent even under the toughest conditions. We then turn to solve the inverse problem and estimate the oxygen saturation of deep brain tissues based on the temporal and spatial behaviors of the reflectance. Results indicate that temporal features of the reflectance are more sensitive to deep-layer optical parameters. The accuracy of estimation is shown to be more accurate and robust than the commonly used single-layer diffusion model. Finally, the limitations of such approaches are discussed thoroughly.

Original languageEnglish (US)
Article number071406
JournalJournal of Biomedical Optics
Volume19
Issue number7
DOIs
StatePublished - Jan 1 2014
Externally publishedYes

Fingerprint

hemodynamics
Hemodynamics
incidence
reflectance
Tissue
Near infrared spectroscopy
Inverse problems
brain
Brain
Multilayers
Optical properties
simulation
infrared spectroscopy
Oxygen
deviation
saturation
optical properties
Monitoring
oxygen
estimates

Keywords

  • Monte Carlo simulations
  • multilayer diffusion model
  • near-infrared spectroscopy
  • neonates cerebral hemodynamics
  • oblique incidence

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Biomedical Engineering

Cite this

Robust estimation of cerebral hemodynamics in neonates using multilayered diffusion model for normal and oblique incidences. / Steinberg, Idan; Harbater, Osnat; Gannot, Israel.

In: Journal of Biomedical Optics, Vol. 19, No. 7, 071406, 01.01.2014.

Research output: Contribution to journalArticle

@article{9b1d0b1588554fee8f3690ccf3a22141,
title = "Robust estimation of cerebral hemodynamics in neonates using multilayered diffusion model for normal and oblique incidences",
abstract = "The diffusion approximation is useful for many optical diagnostics modalities, such as near-infrared spectroscopy. However, the simple normal incidence, semi-infinite layer model may prove lacking in estimation of deep-tissue optical properties such as required for monitoring cerebral hemodynamics, especially in neonates. To answer this need, we present an analytical multilayered, oblique incidence diffusion model. Initially, the model equations are derived in vector-matrix form to facilitate fast and simple computation. Then, the spatiotemporal reflectance predicted by the model for a complex neonate head is compared with time-resolved Monte Carlo (TRMC) simulations under a wide range of physiologically feasible parameters. The high accuracy of the multilayer model is demonstrated in that the deviation from TRMC simulations is only a few percent even under the toughest conditions. We then turn to solve the inverse problem and estimate the oxygen saturation of deep brain tissues based on the temporal and spatial behaviors of the reflectance. Results indicate that temporal features of the reflectance are more sensitive to deep-layer optical parameters. The accuracy of estimation is shown to be more accurate and robust than the commonly used single-layer diffusion model. Finally, the limitations of such approaches are discussed thoroughly.",
keywords = "Monte Carlo simulations, multilayer diffusion model, near-infrared spectroscopy, neonates cerebral hemodynamics, oblique incidence",
author = "Idan Steinberg and Osnat Harbater and Israel Gannot",
year = "2014",
month = "1",
day = "1",
doi = "10.1117/1.JBO.19.7.071406",
language = "English (US)",
volume = "19",
journal = "Journal of Biomedical Optics",
issn = "1083-3668",
publisher = "SPIE",
number = "7",

}

TY - JOUR

T1 - Robust estimation of cerebral hemodynamics in neonates using multilayered diffusion model for normal and oblique incidences

AU - Steinberg, Idan

AU - Harbater, Osnat

AU - Gannot, Israel

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The diffusion approximation is useful for many optical diagnostics modalities, such as near-infrared spectroscopy. However, the simple normal incidence, semi-infinite layer model may prove lacking in estimation of deep-tissue optical properties such as required for monitoring cerebral hemodynamics, especially in neonates. To answer this need, we present an analytical multilayered, oblique incidence diffusion model. Initially, the model equations are derived in vector-matrix form to facilitate fast and simple computation. Then, the spatiotemporal reflectance predicted by the model for a complex neonate head is compared with time-resolved Monte Carlo (TRMC) simulations under a wide range of physiologically feasible parameters. The high accuracy of the multilayer model is demonstrated in that the deviation from TRMC simulations is only a few percent even under the toughest conditions. We then turn to solve the inverse problem and estimate the oxygen saturation of deep brain tissues based on the temporal and spatial behaviors of the reflectance. Results indicate that temporal features of the reflectance are more sensitive to deep-layer optical parameters. The accuracy of estimation is shown to be more accurate and robust than the commonly used single-layer diffusion model. Finally, the limitations of such approaches are discussed thoroughly.

AB - The diffusion approximation is useful for many optical diagnostics modalities, such as near-infrared spectroscopy. However, the simple normal incidence, semi-infinite layer model may prove lacking in estimation of deep-tissue optical properties such as required for monitoring cerebral hemodynamics, especially in neonates. To answer this need, we present an analytical multilayered, oblique incidence diffusion model. Initially, the model equations are derived in vector-matrix form to facilitate fast and simple computation. Then, the spatiotemporal reflectance predicted by the model for a complex neonate head is compared with time-resolved Monte Carlo (TRMC) simulations under a wide range of physiologically feasible parameters. The high accuracy of the multilayer model is demonstrated in that the deviation from TRMC simulations is only a few percent even under the toughest conditions. We then turn to solve the inverse problem and estimate the oxygen saturation of deep brain tissues based on the temporal and spatial behaviors of the reflectance. Results indicate that temporal features of the reflectance are more sensitive to deep-layer optical parameters. The accuracy of estimation is shown to be more accurate and robust than the commonly used single-layer diffusion model. Finally, the limitations of such approaches are discussed thoroughly.

KW - Monte Carlo simulations

KW - multilayer diffusion model

KW - near-infrared spectroscopy

KW - neonates cerebral hemodynamics

KW - oblique incidence

UR - http://www.scopus.com/inward/record.url?scp=84896378013&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84896378013&partnerID=8YFLogxK

U2 - 10.1117/1.JBO.19.7.071406

DO - 10.1117/1.JBO.19.7.071406

M3 - Article

C2 - 24604607

AN - SCOPUS:84896378013

VL - 19

JO - Journal of Biomedical Optics

JF - Journal of Biomedical Optics

SN - 1083-3668

IS - 7

M1 - 071406

ER -