Murakami Ryo, Wang Yang, Tang Yichuan, Tsumura Ryosuke, Fischer Gregory S, Zhang Haichong K
Department of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
IEEE Access. 2025;13:45458-45467. doi: 10.1109/access.2025.3549638. Epub 2025 Mar 10.
Three-dimensional (3D) ultrasound (US) imaging is widely used for real-time, non-ionizing, and cost-effective medical diagnostics. However, using a one-dimensional (1D) transducer often results in limited elevational resolution due to the inherent beam thickness. In this paper, we introduce an elevational Synthetic Aperture Focusing (SAF) algorithm specifically designed for rotational 3D US imaging. Unlike previous methods requiring channel data, our approach operates on in-plane beamformed radio-frequency (RF) data, making it more accessible on many commercial scanners. Through simulations and experiments, we demonstrate significant improvements in elevational resolution (up to 96.4%) and contrast (up to 274.7%). These findings highlight the potential of the proposed algorithm to enhance both research and clinical applications of rotational 3D US imaging.
三维(3D)超声(US)成像广泛用于实时、非电离且经济高效的医学诊断。然而,由于固有的波束厚度,使用一维(1D)换能器通常会导致仰角分辨率受限。在本文中,我们介绍了一种专门为旋转式3D US成像设计的仰角合成孔径聚焦(SAF)算法。与以前需要通道数据的方法不同,我们的方法基于平面内波束形成的射频(RF)数据运行,这使得它在许多商业扫描仪上更易于使用。通过模拟和实验,我们证明了仰角分辨率(提高了96.4%)和对比度(提高了274.7%)有显著提高。这些发现突出了所提出算法在增强旋转式3D US成像的研究和临床应用方面的潜力。