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Photo-acoustic tomography based on laser optical feedback imaging of surface displacements

机译:基于激光光学反馈成像的光声断层扫描

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We present how a laser optical feedback imaging (LOFI) setup can be used for the optical detection of ultrasound in photo-acoustic tomography (PAT). A PAT image is reconstructed by an inversion algorithm using surface displacement measurements made at several locations with our LOFI setup and following the optical irradiation with a pulsed Nd:YAG laser of a sample with absorbing inclusions. The width of the reconstructed inclusions and the signal-to-noise ratio (SNR) of the reconstructed images are first studied on the numerical model of a sample with three absorbing inclusions (i.e., with three acoustic punctual sources). Finally, an experimental PAT image of a phantom composed of two polyamide tubes with an internal diameter of 800 mu m filled with red ink and submerged at -3.5 mm depth in a tank filled with water is reconstructed. Experimentally, the water surface displacement measurements have been made with our LOFI vibrometer, which provides an amplitude sensitivity of 1 nm (for a single-shot measurement) in a detection bandwidth of roughly 1 MHz adapted to the detection of the polyamide tubes. Under our experimental conditions, the surface energy densities of the LOFI focalized beam for the detection and of the pulsed Nd:YAG laser used for the irradiation, are compatible with the maximum permissive exposure for future biomedical measurements. The SNR and the resolution of the reconstructed PAT images are in good agreement with the theoretical predictions. (C) 2019 Optical Society of America
机译:我们介绍了激光光学反馈成像(LOFI)设置如何用于光声断层扫描(PAT)中超声波的光学检测。使用在若干位置的表面位移测量和通过我们的Lofi设置和用吸收夹杂物的脉冲Nd:yag激光器之后的光学照射,通过使用在若干位置进行的反演算法来重建PAT图像。首先在具有三个吸收夹杂物的样品的数值模型上研究重建的图像的宽度和重建的图像的信噪比(SNR)(即,具有三个声学准时来源)。最后,重建了由两个聚酰胺管组成的幻象的实验性PAT图像,其内径为800μm填充有红色墨水并浸没在填充用水的罐中的-3.5mm深度。通过实验,使用我们的LOFI振动计进行了水表面位移测量,其在大约1MHz的检测带宽中提供1nm(用于单次测量)的幅度灵敏度,其适于检测聚酰胺管。在我们的实验条件下,用于检测和脉冲Nd:YAG激光用于照射的Lofi聚焦光束的表面能密度与未来生物医学测量的最大允许暴露相容。 SNR和重建的PAT图像的分辨率与理论预测吻合良好。 (c)2019年光学学会

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