School of Microelectronics, Xidian University, Xi'an, 710071, China.
School of Microelectronics, Xidian University, Xi'an, 710071, China.
Comput Biol Med. 2023 Sep;163:107157. doi: 10.1016/j.compbiomed.2023.107157. Epub 2023 Jun 8.
Inspired by the optical imaging algorithm, the Fourier Ptychography (FP) algorithm is adopted to improve the resolution of ultrasonic array imaging. In the FP algorithm, the steady-state spectrum is utilized to recover the high-resolution ultrasonic images. Meanwhile, the parameters of FP algorithm are empirical, which can affect the imaging quality of ultrasonic array. Then the particle swarm optimization (PSO) algorithm is used to optimize the parameters of FP algorithm to further improve the imaging quality of ultrasonic array. The tungsten imaging experiments and pig eye imaging experiments are conducted to demonstrate the feasibility and effectiveness of the developed algorithm. In addition, the proposed algorithm and the coherent wave superposition (CWS) algorithm are both based on single plane wave (SPW) algorithms and they are then compared. The results show that the CWS algorithm and FP algorithm have good longitudinal and lateral resolutions, respectively. The particle swarm optimization-based FP (PSOFP) imaging algorithm has both excellent lateral and longitudinal resolutions. The average lateral resolution of PSOFP imaging algorithm is improved by 34.47% compared with CWS imaging algorithm in the tungsten wires experiments, and the lateral boundary structure width of the lens is improved by 49.48% in the pig eye experiments. The proposed algorithm can effectively improve the ultrasonic imaging quality for medical application.
受光学成像算法的启发，采用傅里叶叠层（FP）算法来提高超声阵列成像的分辨率。在 FP 算法中，利用稳态谱来恢复高分辨率超声图像。同时，FP 算法的参数是经验性的，这会影响超声阵列的成像质量。然后，采用粒子群优化（PSO）算法来优化 FP 算法的参数，以进一步提高超声阵列的成像质量。进行了钨丝成像实验和猪眼成像实验，以验证所开发算法的可行性和有效性。此外，所提出的算法和相干波叠加（CWS）算法都是基于单平面波（SPW）算法，并对它们进行了比较。结果表明，CWS 算法和 FP 算法分别具有良好的纵向和横向分辨率。基于粒子群优化的 FP（PSOFP）成像算法在钨丝实验中具有出色的横向和纵向分辨率，与 CWS 成像算法相比，其平均横向分辨率提高了 34.47%，在猪眼实验中，透镜的横向边界结构宽度提高了 49.48%。该算法可以有效提高医学应用中的超声成像质量。
