Photoacoustic flow velocity imaging based on complex field decorrelation
Reza Zangabad (Erasmus MC)
Sophinese Iskander-Rizk (Erasmus MC)
P.Q. van der Meulen (TU Delft - Signal Processing Systems)
Bram Meijlink (Erasmus MC)
Klazina Kooiman (Erasmus MC)
Tianshi Wang (Erasmus MC)
Antonius F.W. van der Steen (Erasmus MC, TU Delft - ImPhys/Medical Imaging, Chinese Academy of Sciences)
Gijs Van van Soest (Erasmus MC)
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Abstract
Photoacoustic (PA) imaging can be used to monitor flowing blood inside the microvascular and capillary bed. Ultrasound speckle decorrelation based velocimetry imaging was previously shown to accurately estimate blood flow velocity in mouse brain (micro-)vasculature. Translating this method to photoacoustic imaging will allow simultaneous imaging of flow velocity and extracting functional parameters like blood oxygenation. In this study, we use a pulsed laser diode and a quantitative method based on normalized first order field autocorrelation function of PA field fluctuations to estimate flow velocities in an ink tube phantom and in the microvasculature of the chorioallantoic membrane of a chicken embryo. We demonstrate how the decorrelation time of signals acquired over frames are related to the flow speed and show that the PA flow analysis based on this approach is an angle independent flow velocity imaging method.
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