Research advances of beamforming algorithms in medical ultrasound systems

Medical ultrasound imaging, as a non-invasive, safe, and reliable technology, plays an important role in clinical diagnosis and treatment. However, traditional ultrasound imaging techniques have limitations such as low resolution, poor penetration depth, and high noise levels. To address these issues, beamforming algorithms have become essential. This paper discusses the development and current research status of beamforming algorithms in the context of medical ultrasound systems, focusing on commonly used beamforming algorithms such as synthetic aperture imaging, adaptive beamforming (especially minimum variance distortionless response), and generalized sidelobe canceller technology. These algorithms optimize the emission and reception of ultrasound waves, overcoming the limitations of traditional techniques and improving image resolution, penetration depth, and noise suppression. They provide support for the advancement of medical ultrasound imaging technology and its clinical applications.