Given large data volumes and low post-processing efficiency of full matrix capture-total focusing imaging,this study proposed a planar array-total focusing method(PATFM) for the imaging of planar array data.First,the wave front time of the downgoing planar array was calculated using the eikonal equation based on the characteristics of both the total focusing imaging algorithm and the planar array wave field.Then,the total focusing imaging formula was improved using the upgoing and downgoing ultrasonic propagation time based on the delay superposition principle.Finally,focusing imaging was performed on a wide range of imaging points below the planar array aiming at the derived directivity and diffusion correction coefficient of the planar array.Through Field II simulation,the PATFM was compared with three imaging methods,including phase-controlled scanning imaging,full matrix capture-based total focusing imaging,and plane wave capture-based total focusing imaging.The results show that the PATFM can be used for large-range focusing imaging of single planar array data,greatly improving the computational efficiency while obtaining corresponding accuracy.Therefore,this study provides a feasible technical means for 3D imaging of array acoustic waves.
Fig.9 Field Ⅱ 仿真三维成像切片 a—相控扫描成像剖面;b—双全法成像剖面;c—平面阵全聚焦成像剖面
Fig.10 全聚焦三维成像 a—三维模型;b—双全法三维成像;c—平面阵全聚焦三维成像
项目
全矩阵—全聚焦 FMC-TFM
平面阵—全聚焦 PA-TFM
采集次数
49
1
数据量/KB
46894.5
957
聚焦耗时/s
1195.8
94.6
Table 1 全矩阵全聚焦成像与平面阵全聚焦成像对比
Fig.11 16×16平面阵全聚焦成像剖面
[1]
李衍. 超声相控阵与全聚焦法成像特性比照评析[J]. 无损探伤, 2021, 45(1):1-6.
[1]
Li Y. Comparative analysis of imaging characteristics of ultrasonic phased array and total focusing method[J]. Nondestructive Testing Technology, 2021, 45(1):1-6.
Zhang J K, He Q, Luo J W. Research progress of beamforming methods in plane-wave ultrasound imaging[J]. Journal of Applied Acoustics, 2021, 40(1):22-32.
[5]
Vignon F, Burcher M R. Capon beamforming in medical ultrasound imaging with focused beams[J]. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 2008, 55(3):619-628.
doi: 10.1109/TUFFC.2008.686
pmid: 18407851
[6]
Chau G, Lavarello R, Dahl J. Short-lag spatial coherence weighted minimum variance beamformer for plane-wave images[C]// IEEE International Ultrasonics Symposium,IUS,IEEE, 2016.
[7]
Lokesh B, Thittai A K. Spatial resolution improvement in plane wave imaging using adaptive sign coherence factor weighting[C]// IEEE International Ultrasonics Symposium,IUS,IEEE, 2016.
[8]
Moubark A M, Alomari Z, Harput S, et al. Enhancement of contrast and resolution of B-mode plane wave imaging (PWI) with non-linear filtered delay multiply and sum (FDMAS) beamforming[C]// IEEE International Ultrasonics Symposium,IUS, 2016.
[9]
Zhang B, Robert J L, David G. Dual-domain compressed beamforming for medical ultrasound imaging[C]// 2015 IEEE International Ultrasonics Symposium,IUS, 2015.
[10]
Besson A, Perdios D, Martinez F, et al. Ultrafast ultrasound imaging as an inverse problem:Matrix-free sparse image reconstruction[J]. IEEE Transactions on Ultrasonics,Ferroelectrics,and Frequency Control, 2018, 65(3):339-355.
doi: 10.1109/TUFFC.2017.2768583
[11]
Wiacek A, Gonzalez E, Bell M A L. CohereNet:A deep learning architecture for ultrasound spatial correlation estimation and coherence-based beamforming[J]. IEEE Transactions on Ultrasonics,Ferroelectrics,and Frequency Control, 2020, 67(12):2574-2583.
doi: 10.1109/TUFFC.58
[12]
Hyun D, Brickson L L, Looby K T, et al. Beamforming and speckle reduction using neural networks[J]. IEEE Transactions on Ultrasonics,Ferroelectrics,and Frequency Control,IEEE, 2019, 66(5):898-910.
[13]
Zhang X, Liu J, He Q, et al. High quality reconstruction of plane-wave imaging using generative adversarial network[C]// IEEE International Ultrasonics Symposium,IUS, 2018.
Zhou Z G, Peng D, Li Y, et al. Research on phased array ultrasonic total focusing method and its calibration[J]. Journal of Mechanical Engineering, 2015, 51(10):1-7.
