开源GPU实时波束成形工具，支持新型超声阵列成像
An Open Source Realtime GPU Beamformer for Row-Column and Top Orthogonal to Bottom Electrode (TOBE) Arrays
- 基于GPU计算着色器实现低延迟实时波束成形
- 新电极阵列使图像质量与视野范围优于传统方案
- 适合超声成像研究者快速搭建实时成像系统
科研级超声平台已支持多种新一代成像序列，但对新型二维阵列（如行-列阵列）仍缺乏实时导航能力。本文提出一个开源、GPU加速的重建与渲染软件套件，集成可编程超声平台和新型电致伸缩拓扑-底电极（TOBE）阵列。系统支持交叉平面孔径编码合成孔径成像及孔径编码体扫描等先进实时模式。与传统行-列阵列技术相比，TOBE方法显著提升图像质量并扩大视野范围。软件采用OpenGL计算着色器实现波束成形与渲染内核，设计上追求最大数据吞吐量以减少停顿和延迟。配套提供样本数据集和离线重建示例脚本，便于外部测试。
原文摘要 · Abstract (English)
Research ultrasound platforms have enabled many next-generation imaging sequences but have lacked realtime navigation capabilities for emerging 2D arrays such as row-column arrays (RCAs). We present an open-source, GPU-accelerated reconstruction and rendering software suite integrated with a programmable ultrasound platform and novel electrostrictive Top-Orthogonal-to-Bottom-Electrode (TOBE) arrays. The system supports advanced real-time modes, including cross-plane aperture-encoded synthetic-aperture imaging and aperture-encoded volumetric scanning. TOBE-enabled methods demonstrate improved image quality and expanded field of view compared with conventional RCA techniques. The software implements beamforming and rendering kernels using OpenGL compute shaders and is designed for maximum data throughput helping to minimize stalls and latency. Accompanying sample datasets and example scripts for offline reconstruction are provided to facilitate external testing.
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