NUMERICAL MODELING METHODS FOR OPTIMIZING BEAMFORMING ALGORITHMS AND IMPROVING SPATIAL RESOLUTION IN ULTRASOUND EQUIPMENT

Abstract

This study investigates numerical modeling methods for optimizing beamforming algorithms and improving spatial resolution in ultrasound imaging equipment. Ultrasound imaging is widely used in clinical diagnostics due to its non-invasive nature, real-time capability, portability, and absence of ionizing radiation. However, the diagnostic quality of ultrasound images strongly depends on the performance of beamforming algorithms, transducer array configuration, focusing strategy, signal-to-noise ratio, and acoustic propagation conditions. In conventional ultrasound systems, delay-and-sum beamforming is commonly used because of its computational simplicity, but its limitations include restricted lateral resolution, increased sidelobe artifacts, and reduced contrast in complex tissue environments. To address these limitations, this study proposes a simulation-based framework for evaluating and optimizing ultrasound beamforming algorithms. The methodology includes numerical modeling of the transducer array, acoustic propagation, echo signal formation, dynamic focusing, adaptive apodization, and image reconstruction. Special attention is given to comparing conventional delay-and-sum beamforming with adaptive beamforming techniques, including minimum variance-based methods and synthetic aperture approaches. Numerical simulation tools such as Field II are widely used for modeling ultrasound transducer fields and imaging systems based on linear acoustics, making them suitable for evaluating beamforming performance before hardware implementation. The proposed approach aims to improve lateral resolution, reduce sidelobe artifacts, enhance contrast, and increase the diagnostic informativeness of ultrasound images. The study demonstrates that numerical modeling can serve as an effective engineering tool for selecting optimal beamforming parameters, reducing experimental costs, and improving the design of modern ultrasound imaging systems.