A convergence enhancement approach for tomographic reconstruction in ultrasonic tomography

Ultrasound tomography is a non-invasive imaging technique that seeks to determine the internal distribution of acoustic properties within the body by analyzing measured ultrasound data. Based on the distorted Born iterative method (DBIM), this work suggests employing resolution-jumping and beamforming techniques for tomographic ultrasound imaging. The beamforming technique leverages multiple transmitting elements from the ultrasound probe, operating concurrently, to generate a focused and narrow beam. This targeted approach helps in reducing noise, thus enhancing the quality of the collected data. Meanwhile, resolution-jumping optimizes the imaging process by adjusting the resolution dynamically, thereby improving both the quality and speed of the reconstruction. The benefits of the proposed method are evident in the results of numerical simulations, which demonstrate a substantial improvement in the quality of image recovery. These simulations also highlight a significant reduction in the total runtime required for imaging, showcasing the efficiency of the approach. By combining these advanced methods, the work offers a promising pathway toward more accurate and faster tomographic ultrasound imaging, which could lead to better diagnostic capabilities in medical applications.