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

Area of Science:

• Engineering
• Medical Imaging
• Signal Processing

Background:

• Designing ultrasonic synthetic aperture systems for non-grid 2D sparse arrays presents computational and hardware challenges.
• Optimizing beamforming processes is crucial for efficient 3D ultrasonic imaging.

Purpose of the Study:

• To develop a guide for designing ultrasonic synthetic aperture systems tailored for non-grid 2D sparse arrays.
• To present an algorithm for identifying critical array elements to reduce system complexity and resource requirements.

Main Methods:

• An algorithm was developed to identify array elements with significant impact on beampattern characteristics.
• The algorithm reduces the number of signals, emitters, and parallel receiver channels in beamforming.
• Simulations utilized a Fermat spiral array; experimental data from an annular segmented array (64 elements) were used for assessment.

Main Results:

• The algorithm effectively identifies key elements for optimizing system performance.
• Significant reductions in computational cost, hardware requirements, and system complexity were demonstrated.
• The method is applicable to various non-grid sparse array configurations.

Conclusions:

• The developed algorithm provides an effective strategy for designing optimized ultrasonic synthetic aperture systems.
• This approach enhances the feasibility and efficiency of 3D ultrasonic imaging using sparse arrays.
• The findings contribute to more accessible and less complex ultrasonic imaging hardware.