The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Near-infrared light propagation in an adult head model I Modeling of low-level scattering in the cerebrospinal fluid layer
Abstract
Adequate modeling of light propagation in a human head is important for quantitative near-infrared spectroscopy and optical imaging. The presence of a nonscattering cerebrospinal fluid (CSF) that surrounds the brain has been previously shown to have a strong effect on light propagation in the head. However, in reality, a small amount of scattering is caused by the arachnoid trabeculae in the CSF layer. In this study, light propagation in an adult head model with discrete scatterers distributed within the CSF layer has been predicted by Monte Carlo simulation to investigate the effect of the small amount of scattering caused by the arachnoid trabeculae in the CSF layer. This low scattering in the CSF layer is found to have little effect on the mean optical path length, a parameter that can be directly measured by a time-resolved experiment. However, the partial optical path length in brain tissue that relates the sensitivity of the detected signal to absorption changes in the brain is strongly affected by the presence of scattering within the CSF layer. The sensitivity of the near-infrared signal to hemoglobin changes induced by brain activation is improved by the effect of a low-scattering CSF layer.
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Estimation of optical pathlength through tissue from direct time of flight measurement
Delpy, D. T., Cope, M., Zee, P. V. D., Arridge, S., Wray, S., & Wyatt, J. (1988) · Physics in Medicine and Biology · doi:10.1088/0031-9155/33/12/008 · Cited by 2,245
Self-citationA Monte Carlo model for the absorption and flux distributions of light in tissue
Wilson, B. C., & Adam, G. (1983) · Medical Physics · doi:10.1118/1.595361 · Cited by 690
Simpson, C. R., Kohl, M., Essenpreis, M., & Cope, M. (1998) · Physics in Medicine and Biology · doi:10.1088/0031-9155/43/9/003 · Cited by 651
Performance Comparison of Several Published Tissue Near-Infrared Spectroscopy Algorithms
Matcher, S. J., Elwell, C. E., Cooper, C. E., Cope, M., & Delpy, D. T. (1995) · Analytical Biochemistry · doi:10.1006/abio.1995.1252 · Cited by 588
Self-citationOkada, E., Firbank, M., Schweiger, M., Arridge, S. R., Cope, M., & Delpy, D. T. (1997) · Applied Optics · doi:10.1364/ao.36.000021 · Cited by 477
Self-citationIn vivo local determination of tissue optical properties: applications to human brain
Bevilacqua, F., Piguet, D., Marquet, P., Gross, J. D., Tromberg, B. J., & Depeursinge, C. (1999) · Applied Optics · doi:10.1364/ao.38.004939 · Cited by 456
Optical imaging in medicine: I. Experimental techniques
Hebden, J. C., Arridge, S. R., & Delpy, D. T. (1997) · Physics in Medicine and Biology · doi:10.1088/0031-9155/42/5/007 · Cited by 402
Self-citationHiraoka, M., Firbank, M., Essenpreis, M., Cope, M., Arridge, S. R., Zee, P. V. D., & Delpy, D. T. (1993) · Physics in Medicine and Biology · doi:10.1088/0031-9155/38/12/011 · Cited by 374
Self-citationHielscher, A. H., Alcouffe, R. E., & Barbour, R. L. (1998) · Physics in Medicine and Biology · doi:10.1088/0031-9155/43/5/017 · Cited by 332
A novel method for fast imaging of brain function, non-invasively, with light
Chance, B., Anday, E., Nioka, S., Zhou, S., Hong, L., Worden, K., Li, C., Murray, T., Ovetsky, Y., Pidikiti, D., et al. (1998) · Optics Express · doi:10.1364/oe.2.000411 · Cited by 307
Cited by
Ferrari, M., & Quaresima, V. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.049 · Cited by 2,274
HomER: A review of time-series analysis methods for near-infrared spectroscopy of the brain
Huppert, T. J., Diamond, S. G., Franceschini, M. A., & Boas, D. A. (2009) · Applied Optics · doi:10.1364/ao.48.00d280 · Cited by 1,817
Diffuse optics for tissue monitoring and tomography
Durduran, T., Choe, R., Baker, W. B., & Yodh, A. G. (2010) · Reports on Progress in Physics · doi:10.1088/0034-4885/73/7/076701 · Cited by 1,161
Recent advances in diffuse optical imaging
Gibson, A. P., Hebden, J. C., & Arridge, S. R. (2005) · Physics in Medicine and Biology · doi:10.1088/0031-9155/50/4/r01 · Cited by 1,114
Diffuse correlation spectroscopy for non-invasive, micro-vascular cerebral blood flow measurement
Durduran, T., & Yodh, A. G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.017 · Cited by 536
Metadata
- Authors
- Okada, E., & Delpy, D. T.
- Venue
- Applied Optics
- Publisher
- Optica Publishing Group
- Published
- 2003-06-01
- Volume
- 42
- Issue
- 16
- Pages
- 2906
- ISSN
- 0003-6935 (ISSN-L)
- 1539-4522
- OpenAlex
- W1980915345
- Cited by
- 274
- References
- 19
- FWCI
- 10.60
- Type
- journal article
- Language
- en
- Open access
- closed
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