Monte Carlo modeling of optoacoustic signals from human internal jugular veins

Igor Patrikeev, Yuriy Y. Petrov, Irina Y. Petrova, Donald Prough, Rinat Esenaliev

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Monitoring of blood oxygenation, in particular, cerebral venous oxygenation, is necessary for management of a variety of life-threatening conditions. An optoacoustic technique can be used for noninvasive monitoring of blood oxygenation in blood vessels, including large veins. We calculated optoacoustic signals from a cylinder mimicking a blood vessel using a modified Monte Carlo code and analyzed their temporal profiles. The rate of decrease of the integrated optoacoustic signal at different wavelengths of incident near-infrared radiation was related to the effective attenuation coefficient of normally oxygenated venous blood. We obtained good correlation of this parameter with the blood effective attenuation coefficient in a wide spectral range that may be useful in providing an accurate and robust optoacoustic monitoring of blood oxygenation. We also estimated the accuracy of effective attenuation coefficient calculations.

Original languageEnglish (US)
Pages (from-to)4820-4827
Number of pages8
JournalApplied Optics
Volume46
Issue number21
DOIs
StatePublished - Jul 20 2007

Fingerprint

Photoacoustic effect
veins
Oxygenation
oxygenation
blood
Blood
attenuation coefficients
blood vessels
Blood vessels
Monitoring
near infrared radiation
Infrared radiation
Wavelength
profiles
wavelengths

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Monte Carlo modeling of optoacoustic signals from human internal jugular veins. / Patrikeev, Igor; Petrov, Yuriy Y.; Petrova, Irina Y.; Prough, Donald; Esenaliev, Rinat.

In: Applied Optics, Vol. 46, No. 21, 20.07.2007, p. 4820-4827.

Research output: Contribution to journalArticle

Patrikeev, Igor ; Petrov, Yuriy Y. ; Petrova, Irina Y. ; Prough, Donald ; Esenaliev, Rinat. / Monte Carlo modeling of optoacoustic signals from human internal jugular veins. In: Applied Optics. 2007 ; Vol. 46, No. 21. pp. 4820-4827.
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