Thomas Anjali, Paul Souradip, Singh Mayanglambam Suheshkumar
Biomedical Instrumentation and Imaging Laboratory (BIIL), School of Physics (SoP), Indian Institute of Science Education and Research Thiruvananthapuram (IISER-TVM), Thiruvananthapuram, India.
J Biophotonics. 2023 Feb;16(2):e202200157. doi: 10.1002/jbio.202200157. Epub 2022 Oct 5.
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 ).
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。