Abstract
Near infrared spectroscopy (NIRS) in tissue is known to be insensitive to oxygenation changes inside blood vessels. Measurements are dominated by changes in the surrounding tissue, which has significantly lower optical absorption. A hybrid technique of NIRS with focused ultrasound (US) allows spectroscopic measurements to be collected from the acoustic focal region. This technique is currently limited by the low signal-to-noise ratio of this US-modulated signal relative to the background of unmodulated photons. We are investigating the use of microbubbles (a widely used clinical US contrast agent) as a means of amplifying this acousto-optic (AO) signal. Here we present a Monte Carlo model of light transport including US and microbubbles: analytical acoustic modelling of microbubbles is based on the Rayleigh–Plesset equation, which describes a bubble oscillating under applied US. The results of this model demonstrate that AO techniques are more sensitive to changes in oxygen saturation (SO2) in a deep highly absorbing blood vessel than conventional optical methods. AO measurements are also less sensitive to changes in the surrounding tissue SO2. This is a promising candidate for non-invasive measurements of SO2 in blood vessels such as the pulmonary artery.
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Reinhart K, Kuhn HJ, Hartog C et al (2004) Continuous central venous and pulmonary artery oxygen saturation monitoring in the critically ill. Intens Care Med 30:1572–1578
Honeysett J, Stride E, Leung T (2010) Monte Carlo simulations of acousto-optics with microbubbles. Proc SPIE 7564:75640K
Lindner JR (2004) Microbubbles in medical imaging: current applications and future directions. Nat Rev Drug Discov 3(6):527533
Stride E, Tang MX, Eckersley RJ (2009) Physical phenomena affecting quantitative imaging of ultrasound contrast agents. Appl Acoust 70(10):1352
Leung TS, Powell S (2010) Fast Monte Carlo simulations of ultrasound modulated light using a graphics processing unit. J Biomed Opt 15(5):055007
Leung TS, Tachtsidis I, Tisdall M et al (2007) Theoretical investigation of measuring cerebral blood flow in the adult human head using bolus indocyanine green injection and near-infrared spectroscopy. Appl Opt 46(10):1604–1614
Church CC (1995) The effects of an elastic solid surface layer on the radial pulsations of gas bubbles. J Acoust Soc Am 97:1510
Dean CE, Marston PL (1991) Critical angle light scattering from bubbles: an asymptotic series approximation. Appl Opt 30(33):4764–4776
Firbank M, Okada E, Delpy DT (1997) Investigation of the effect of discrete absorbers upon the measurement of blood volume with near-infrared spectroscopy. Phys Med Biol 42:465
Hiraoka M, Firbank M, Essenpreis M et al (1993) A Monte Carlo investigation of optical pathlength in inhomogeneous tissue and its application to near-infrared spectroscopy. Phys Med Biol 38:1859
Acknowledgements
The authors would like to thank Samuel Powell for assistance in implementing the GPU-based simulations and Dr. Jing Deng for useful discussions. This work was funded by the Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX) Doctoral Training Centre at UCL, through a studentship, the British Heart Foundation, the Medical Research Council and the Engineering and Physical Sciences Research Council (Grant Code EP/G005036/1).
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Honeysett, J.E., Stride, E., Leung, T.S. (2012). Feasibility Study of Non-invasive Oxygenation Measurement in a Deep Blood Vessel Using Acousto-Optics and Microbubbles. In: Wolf, M., et al. Oxygen Transport to Tissue XXXIII. Advances in Experimental Medicine and Biology, vol 737. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1566-4_41
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DOI: https://doi.org/10.1007/978-1-4614-1566-4_41
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