Wang Haoyu, Yan Luo, Ma Cheng, Han Yiping
Hangzhou Institute of Technology, XIDIAN University, Hangzhou 311231, Zhejiang, China.
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
Photoacoustics. 2023 Jul 19;32:100535. doi: 10.1016/j.pacs.2023.100535. eCollection 2023 Aug.
In photoacoustic (PA) reconstruction, spatial constraints or real-time system requirements often result to sparse PA sampling data. For sparse PA sensor data, the sparse spatial and dense temporal sampling often leads to poor signal continuity. To address the structural characteristics of sparse PA signals, a data interpolation algorithm based on extremum-guided interpolation is proposed. This algorithm is based on the continuity of the signal, and can complete the estimation of high sampling rate signals without complex mathematical calculations. PA signal data is interpolated and reconstructed, and the results are evaluated using image quality assessment methods. The simulation and experimental results show that the proposed method performs better than several typical algorithms, effectively restoring image details, suppressing the generation of artifacts and noise, and improving the quality of PA reconstruction under sparse sampling.
在光声（PA）重建中，空间约束或实时系统要求常常导致光声采样数据稀疏。对于稀疏的光声传感器数据，稀疏的空间采样和密集的时间采样往往会导致信号连续性较差。为了解决稀疏光声信号的结构特征问题，提出了一种基于极值引导插值的数据插值算法。该算法基于信号的连续性，无需复杂的数学计算即可完成高采样率信号的估计。对光声信号数据进行插值和重建，并使用图像质量评估方法对结果进行评估。仿真和实验结果表明，所提方法比几种典型算法表现更好，能有效恢复图像细节，抑制伪影和噪声的产生，并提高稀疏采样下光声重建的质量。
