研究目的
To investigate the feasibility of improving ultrasound image resolution and quality by developing a coherent multi-transducer imaging system that extends the effective aperture through synchronized transducers transmitting plane waves.
研究成果
The study demonstrates the feasibility of a coherent multi-transducer ultrasound imaging system, showing improved lateral resolution through extended aperture. The method enables flexible transducer placement without external tracking, but side lobes and optimization challenges need addressing. Future work should focus on in-vivo applications and aberration correction.
研究不足
The method requires initial parameter estimates close to the global maximum for optimization, with a tolerance of approximately 1.5 μs (2.19 mm). It may suffer from side lobe effects, and further studies are needed for in-vivo imaging and handling wavefront aberrations in inhomogeneous media.
1：Experimental Design and Method Selection:
The study designed a multi-transducer system using two synchronized linear arrays to transmit plane waves and receive echoes coherently. Theoretical models for beamforming and spatial coherence optimization were employed.
2：Sample Selection and Data Sources:
A custom-made wire target phantom with 200-μm diameter wires (5 in total) was used, positioned in the common field of view of the transducers.
3：List of Experimental Equipment and Materials:
Two Ultrasound Advanced Open Platform (ULA-OP 256) systems, ultrasonic linear arrays (LA332), xyz translation and rotation stages, and a wire phantom.
4：Experimental Procedures and Operational Workflow:
The transducers were synchronized and mounted on stages. They transmitted 121 plane waves each (-30° to 30°, 0.5° step) at 3 MHz with a PRF of 4 kHz, and RF data were acquired at 39 MHz sampling frequency up to 77 mm depth. Data were processed using beamforming and optimization algorithms.
5：5° step) at 3 MHz with a PRF of 4 kHz, and RF data were acquired at 39 MHz sampling frequency up to 77 mm depth. Data were processed using beamforming and optimization algorithms.
Data Analysis Methods:
5. Data Analysis Methods: Resolution was measured from point-spread-function (PSF) using full-width-at-half-maximum (FWHM) and k-space representation. Normalized cross-correlation (NCC) and gradient-based optimization were used for coherence maximization.
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