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用于光声显微镜的能量补偿合成孔径聚焦技术。

Energy compensated synthetic aperture focusing technique for photoacoustic microscopy.

作者信息

Thomas Anjali, Paul Souradip, Singh Mayanglambam Suheshkumar

机构信息

Biomedical Instrumentation and Imaging Laboratory (BIIL), School of Physics (SoP), Indian Institute of Science Education and Research Thiruvananthapuram (IISER-TVM), Thiruvananthapuram, India.

出版信息

J Biophotonics. 2023 Feb;16(2):e202200157. doi: 10.1002/jbio.202200157. Epub 2022 Oct 5.

Abstract

We report an adaptive energy-compensated synthetic aperture focusing technique (eC-SAFT) for improving the imaging performance of photoacoustic microscopy (PAM) in terms of depth of field (DOF), spatial resolution (both axial and lateral), and SNR. In addition to coherency and time-delay (in conventional SAFT), our beamforming-based reconstruction algorithm takes into account acoustic energy loss-a primary physical parameter in acoustic wave propagation-following Beer-Lambert's law. Experimental validation studies were performed in tissue-mimicking (Agar) phantoms, complex leaf veins, and chicken breast tissues. Results demonstrate that our proposed eC-SAFT+CF outperforms conventional SAFT+CF to improve axial resolution (up to ), lateral resolution (up to ), SNR (up to ) and CR (up to ).

摘要

我们报告了一种自适应能量补偿合成孔径聚焦技术(eC-SAFT),用于在景深(DOF)、空间分辨率(轴向和横向)和信噪比方面提高光声显微镜(PAM)的成像性能。除了相干性和时延(传统SAFT中)之外,我们基于波束形成的重建算法还考虑了遵循比尔-朗伯定律的声能损失——声波传播中的一个主要物理参数。在仿组织(琼脂)体模、复杂叶脉和鸡胸组织中进行了实验验证研究。结果表明,我们提出的eC-SAFT+CF在提高轴向分辨率(高达 )、横向分辨率(高达 )、信噪比(高达 )和对比度分辨率(高达 )方面优于传统的SAFT+CF。

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