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Frequency Domain Based Virtual Detector for Heterogeneous Media in Photoacoustic Imaging

机译:基于频域的虚拟探测器,用于光声成像中的异构媒体

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There has been a growing attention to using acoustic-resolution photoacoustic microscopy (ARPAM) for medical applications in the recent decade. To eliminate the distortion induced by acoustic diffraction in ARPAM, synthetic aperture focusing technique (SAFT) methods that incorporate the virtual detector (VD) concept are used to reconstruct the images. However, most of these algorithms assume homogeneous media and therefore perform poorly in heterogeneous media cases. On this note, we propose an ARPAM reconstruction technique that can be adapted to cases where layered heterogeneous media are present. This method rebuilds a VD-based receiving system by using virtual scan plane theory. It then extrapolates wave fields with the proposed phase-shift factors of different multi-layered media. Afterwards, it adopts a non-uniform fast Fourier transform to reconstruct images. The wave extrapolation eliminates the artifacts induced by refraction, simplifying the computation for layered media. According to the simulations, our proposed method is capable to reconstruct high-quality images for layered heterogeneous media.
机译:在最近十年中,使用声学分辨率光声显微镜(ARPAM)对医疗应用进行了越来越关注。为了消除通过ARPAM中的声学衍射引起的失真,合成孔径聚焦技术(SAFT)方法,其包含虚拟检测器(VD)概念的方法来重建图像。然而,这些算法中的大多数是均匀介质,因此在异构媒体情况下表现不佳。在本说明,我们提出了一种ARPAM重建技术,其可以适应存在层状异构介质存在的情况。该方法使用虚拟扫描平面理论重建基于VD的接收系统。然后,将波场推断出具有不同多层介质的所提出的相移因子的波场。之后,它采用不均匀的快速傅里叶变换来重建图像。波外推消除了通过折射引起的伪像,简化了分层介质的计算。根据模拟,我们所提出的方法能够重建用于层状异构介质的高质量图像。

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