Oxygen consumption estimation with combined color doppler ultrasound and photoacoustic microscopy: a phantom study

The metabolic rate of oxygen consumption (MRO2) quantifies tissue metabolism, which is important for diagnosis of many diseases. For a single vessel model, the MRO2 can be estimated in terms of the mean flow velocity, vessel crosssectional area, total concentration of hemoglobin (CHB), and the difference between the oxygen saturation (sO2) of blood flowing into and out of the tissue region. In this work, we would like to show the feasibility to estimate MRO2 with our combined photoacoustic and high-frequency ultrasound imaging system. This system uses a swept-scan 25-MHz ultrasound transducer with confocal dark-field laser illumination optics. A pulse-sequencer enables ultrasonic and laser pulses to be interlaced so that photoacoustic and Doppler ultrasound images are co-registered. Since the mean flow velocity can be measured by color Doppler ultrasound, the vessel cross-sectional area can be measured by power Doppler or photoacoustic imaging, and multi-wavelength photoacoustic methods can be used to estimate sO2 and CHB, all of these parameters necessary for MRO2 estimation can be provided by our system. Experiments have been performed on flow phantoms to generate co-registered color Doppler and photoacoustic images. To verify the sO2 estimation, two ink samples (red and blue) were mixed in various concentration ratios to mimic different levels of sO2, and the result shows a good match between the calculated concentration ratios and actual values.

[1]  Lihong V. Wang,et al.  Noninvasive, in vivo imaging of the mouse brain using photoacoustic microscopy. , 2009, Journal of applied physics.

[2]  Lihong V. Wang,et al.  Optical-resolution photoacoustic microscopy for in vivo imaging of single capillaries. , 2008, Optics letters.

[3]  B G Zagar,et al.  Ultrasonic mapping of the microvasculature: signal alignment. , 1998, Ultrasound in medicine & biology.

[4]  H. Torp,et al.  Clutter filters adapted to tissue motion in ultrasound color flow imaging , 2002, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[5]  C. Kasai,et al.  Real-Time Two-Dimensional Blood Flow Imaging Using an Autocorrelation Technique , 1985, IEEE 1985 Ultrasonics Symposium.

[6]  James C Lacefield,et al.  Detectability of small blood vessels with high-frequency power Doppler and selection of wall filter cut-off velocity for microvascular imaging. , 2009, Ultrasound in medicine & biology.

[7]  Photoacoustic and high-frequency power Doppler ultrasound biomicroscopy: a comparative study. , 2010, Journal of biomedical optics.

[8]  A. Lammertsma,et al.  Noninvasive quantification of regional myocardial metabolic rate of oxygen by 15O2 inhalation and positron emission tomography. Experimental validation. , 1996, Circulation.

[9]  J R Reichenbach,et al.  In vivo measurement of blood oxygen saturation using magnetic resonance imaging: A direct validation of the blood oxygen level‐dependent concept in functional brain imaging , 1997, Human brain mapping.

[10]  Lihong V. Wang,et al.  Functional photoacoustic microscopy for high-resolution and noninvasive in vivo imaging , 2006, Nature Biotechnology.

[11]  Lihong V. Wang,et al.  Prospects of photoacoustic tomography. , 2008, Medical physics.

[12]  Hao Zhang,et al.  Imaging of hemoglobin oxygen saturation variations in single vessels in vivo using photoacoustic microscopy , 2007 .