Fast computation of far-field pulse-echo PSF of arbitrary arrays for large sparse 2-D ultrasound array design

Li, Zhaohui; Chi, Cheng

doi:10.1016/j.ultras.2017.10.006

Cited by 4 publications

(2 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The development of real-time ultrasonic imaging systems based on arrays is a complex issue that encompasses different fields of study, such as material science [ 1 ], manufacturing [ 2 ], physics [ 3 ], and electronic integration [ 4 ]. Signal processing also plays a fundamental role in this challenge [ 5 , 6 ], mainly to establish a good trade-off between hardware complexity and image requirements.…”

Section: Introductionmentioning

confidence: 99%

Design of Ultrasonic Synthetic Aperture Imaging Systems Based on a Non-Grid 2D Sparse Array

Souza

Parrilla

Higuti

et al. 2021

Sensors

View full text Add to dashboard Cite

This work provides a guide to design ultrasonic synthetic aperture systems for non-grid two-dimensional sparse arrays such as spirals or annular segmented arrays. It presents an algorithm that identifies which elements have a more significant impact on the beampattern characteristics and uses this information to reduce the number of signals, the number of emitters and the number of parallel receiver channels involved in the beamforming process. Consequently, we can optimise the 3D synthetic aperture ultrasonic imaging system for a specific sparse array, reducing the computational cost, the hardware requirements and the system complexity. Simulations using a Fermat spiral array and experimental data based on an annular segmented array with 64 elements are used to assess this algorithm.

show abstract

Section: Introductionmentioning

confidence: 99%

Design of Ultrasonic Synthetic Aperture Imaging Systems Based on a Non-Grid 2D Sparse Array

Souza

Parrilla

Higuti

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Mainly, optimization-based sparse array design strategies employ fitness functions (FF) based on the analysis of beampattern characteristics, such as mainlobe width and sidelobe level. Due to the high computational cost associated with the beampattern simulation and the complexity of its analysis [ 14 , 15 ], the use of these FFs turn the bidimensional sparse array design into a complex process [ 16 , 17 , 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Design of 2D Planar Sparse Binned Arrays Based on the Coarray Analysis

Martínez-Graullera

Souza

Parrilla

et al. 2021

Sensors

View full text Add to dashboard Cite

The analysis of the beampattern is the base of sparse arrays design process. However, in the case of bidimensional arrays, this analysis has a high computational cost, turning the design process into a long and complex task. If the imaging system development is considered a holistic process, the aperture is a sampling grid that must be considered in the spatial domain through the coarray structure. Here, we propose to guide the aperture design process using statistical parameters of the distribution of the weights in the coarray. We have studied three designs of sparse matrix binned arrays with different sparseness degrees. Our results prove that there is a relationship between these parameters and the beampattern, which is valuable and improves the array design process. The proposed methodology reduces the computational cost up to 58 times with respect to the conventional fitness function based on the beampattern analysis.

show abstract