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Accurate monitoring of blood oxy-saturation level (SO2 ) in human breast tissues is clinically important for predicting and evaluating possible tumor growth at the site. In this work, four different non-invasive frequency-domain photoacoustic (PA) imaging modalities were compared for their absolute SO2 characterization capability using an in-vitro sheep blood circulation system. Among different PA modes, a new WM-DPAR imaging modality could estimate the SO2 with great accuracy when compared to a commercial blood gas analyzer. The developed WM-DPARI theory was further validated by constructing SO2 tomographic images of a blood-containing plastisol phantom.

The spectroscopic imaging capability of photoacoustics (PA) without the depth limitations of optical methods offers a major advantage in preclinical and clinical applications. Consecutive PA measurements with properly chosen wavelengths allow composition related information about blood or tissue. In this work, we propose and experimentally introduce modulation waveform engineering through the use of mismatched (uncorrelated or weakly correlated) linear frequency modulated signals for PA characterization and imaging. The feasibility of the method was tested on oxygen saturated hemoglobin and deoxygenated hemoglobin in vitro in a blood circulating rig. The method was also employed for in vivo imaging of a neck carcinoma tumor grown in a mouse thigh. The proposed method can increase the accuracy and speed of functional imaging by simultaneous PA probing with two wavelengths using portable laser-diode based PA imaging systems.

Co-registered ultrasound (US) and frequency-domain photoacoustic radar (FD-PAR) imaging is reported for the first time in this paper. The merits of ultrasound and cross-correlation (radar) frequencydomain photoacoustic imaging are leveraged for accurate tumor detection. Commercial US imagers possess sophisticated, optimized software for rapid image acquisition that could dramatically speed-up PA imaging. The PAR image generated from the amplitude of the cross-correlation between detected and input signals was filtered by the standard deviation (SD) of the phase of the correlation signal, resulting in strong improvement of image spatial resolution, signal-to-noise ratio (SNR) and contrast. Application of phase-mediated image improvement is illustrated by imaging a cancer cellinjected mouse. A 14-15 dB SNR gain was recorded for the phase-filtered image compared to the amplitude and phase independently, while ~340 μm spatial resolution was seen for the phase PAR image compared to ~840 μm for the amplitude image.

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