Research on high-resolution breast ultrasound imaging technology based on 1 × 256 ring transducer array

This paper introduces a novel breast ultrasound projection imaging algorithm designed for enhanced breast cancer diagnostics using a 1 × 256 ring transducer array platform. The algorithm integrates a ray-based ultrasound propagation model, hypothesizing that rotational scanning of the ring transducer array can expand the scanning area and increase data volume for precise image reconstruction. Implemented with the Singular Value Thresholding (SVT) algorithm, it ensures accurate completion of information necessary for high-resolution imaging, effectively managing incomplete data and noise reduction. Extensive simulations and experimental validations demonstrate the algorithm’s efficacy, achieving minimal Root Mean Square Error (RMSE), maximum Structural Similarity Index (SSIM) and maximum Structural Recovery Degree (SRD) values of 4.35, 0.77 and 0.9869, respectively. Experimental results reveal a slight deviation in reconstructed target size, limited to 1.8%, showcasing the algorithm’s potential for precise imaging. This underscores its capability to accurately reproduce breast tissue structures, critical for reliable diagnosis and treatment planning.