Monte Carlo prediction of light propagation in realistic adult head model

Kaori Tajima, Shuhei Eda, Eiji Okada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The light propagation in the head models has been investigated to deduce the volume of the brain tissue sampled by NIR instrument. The light propagation in the adult head is strongly affected by the presence of low scattering cerebrospinal fluid (CSF) layer. Although the brain surface is folded with sulci filled with the CSF, the brain surface in the previous head models has had simple geometry such as a flat or curved surface. In this study, the light propagation in a realistic adult and neonatal head models of which geometry is generated from MRI scan of the head is predicted by Monte Carlo method. The adult and neonatal head models consist of small square elements to represent complex geometry and each element specified its scattering and absorption coefficients. The delta-scattering algorithm is implemented to keep the computation time within reasonable limit. The spatial sensitivity profiles for various source-detector spacing are predicted and the difference in the effect of the CSF on the spatial sensitivity profiles in the adult and neonatal head models is discussed. The low scattering CSF affects the light propagation in the adult head model while the distortion in spatial sensitivity profiles in the neonatal head model is not significant.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages49-56
Number of pages8
Volume4160
DOIs
Publication statusPublished - 2000
EventPhoton Migration, Diffuse Spectroscopy, and Optical Coherence Tomography: Imaging and Functional Assessment - Amsterdam, Neth
Duration: 2000 Jul 62000 Jul 8

Other

OtherPhoton Migration, Diffuse Spectroscopy, and Optical Coherence Tomography: Imaging and Functional Assessment
CityAmsterdam, Neth
Period00/7/600/7/8

Fingerprint

Light propagation
cerebrospinal fluid
Cerebrospinal fluid
propagation
predictions
Scattering
brain
Brain
Geometry
sensitivity
profiles
geometry
scattering
curved surfaces
scattering coefficients
Monte Carlo method
flat surfaces
absorptivity
Monte Carlo methods
spacing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Tajima, K., Eda, S., & Okada, E. (2000). Monte Carlo prediction of light propagation in realistic adult head model. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 4160, pp. 49-56). Society of Photo-Optical Instrumentation Engineers. https://doi.org/10.1117/12.407607

Monte Carlo prediction of light propagation in realistic adult head model. / Tajima, Kaori; Eda, Shuhei; Okada, Eiji.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4160 Society of Photo-Optical Instrumentation Engineers, 2000. p. 49-56.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tajima, K, Eda, S & Okada, E 2000, Monte Carlo prediction of light propagation in realistic adult head model. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 4160, Society of Photo-Optical Instrumentation Engineers, pp. 49-56, Photon Migration, Diffuse Spectroscopy, and Optical Coherence Tomography: Imaging and Functional Assessment, Amsterdam, Neth, 00/7/6. https://doi.org/10.1117/12.407607
Tajima K, Eda S, Okada E. Monte Carlo prediction of light propagation in realistic adult head model. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4160. Society of Photo-Optical Instrumentation Engineers. 2000. p. 49-56 https://doi.org/10.1117/12.407607
Tajima, Kaori ; Eda, Shuhei ; Okada, Eiji. / Monte Carlo prediction of light propagation in realistic adult head model. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4160 Society of Photo-Optical Instrumentation Engineers, 2000. pp. 49-56
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