Nie Shibo, Yin Guanjun, Li Pan, Guo Jianzhong
Key Laboratory of Ultrasound of Shaanxi Province, School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.
School of Physics and Electrical Engineering, Weinan Normal University, Wei'Nan 714099, China.
J Acoust Soc Am. 2024 Jul 1;156(1):503-510. doi: 10.1121/10.0027934.
Photoacoustic (PA) imaging is a promising technology for functional imaging of biological tissues, offering optical contrast and acoustic penetration depth. However, the presence of signal aliasing from multiple PA sources within the same imaging object can introduce artifacts and significantly impact the quality of the PA tomographic images. In this study, an optimized method is proposed to suppress these artifacts and enhance image quality effectively. By leveraging signal time-frequency spectrum, signals from each PA source can be extracted. Subsequently, the images are reconstructed using these extracted signals and fused together to obtain an optimized image. To verify this proposed method, PA imaging experiments were conducted on two phantoms and two in vitro samples and the distribution relative error and root mean square error of the images obtained through conventional and optimized methods were calculated. The results demonstrate that the proposed method successfully suppresses the artifacts and substantially improves the image quality.
光声（PA）成像是一种用于生物组织功能成像的有前景的技术，它兼具光学对比度和声学穿透深度。然而，同一成像对象内多个PA源产生的信号混叠会引入伪影，并显著影响PA断层图像的质量。在本研究中，提出了一种优化方法来有效抑制这些伪影并提高图像质量。通过利用信号时频谱，可以提取每个PA源的信号。随后，使用这些提取的信号重建图像并融合在一起以获得优化图像。为验证该方法，对两个仿体和两个体外样本进行了PA成像实验，并计算了通过传统方法和优化方法获得的图像的分布相对误差和均方根误差。结果表明，所提出的方法成功抑制了伪影并显著提高了图像质量。
