IEEE Trans Ultrason Ferroelectr Freq Control. 2014 Jan;61(1):76-85. doi: 10.1109/TUFFC.2014.6689777.
Capon beamforming is associated with a high computational complexity, which limits its use as a real-time method in many applications. In this paper, we present an implementation of the Capon beamformer that exhibits realtime performance when applied in a typical cardiac ultrasound imaging setting. To achieve this performance, we make use of the parallel processing power found in modern graphics processing units (GPUs), combined with beamspace processing to reduce the computational complexity as the number of array elements increases. For a three-dimensional beamspace, we show that processing rates supporting real-time cardiac ultrasound imaging are possible, meaning that images can be processed faster than the image acquisition rate for a wide range of parameters. Image quality is investigated in an in vivo cardiac data set. These results show that Capon beamforming is feasible for cardiac ultrasound imaging, providing images with improved lateral resolution both in element-space and beamspace.
Capon 波束形成具有很高的计算复杂性，这限制了它在许多应用中作为实时方法的使用。在本文中，我们提出了一种 Capon 波束形成器的实现，当应用于典型的心脏超声成像环境时，它具有实时性能。为了实现这种性能，我们利用现代图形处理单元 (GPU) 中发现的并行处理能力，结合波束空间处理来降低计算复杂性，随着阵元数量的增加而减少。对于三维波束空间，我们表明支持实时心脏超声成像的处理速率是可行的，这意味着对于广泛的参数，图像可以比图像采集速率更快地处理。在体内心脏数据集上研究了图像质量。这些结果表明，Capon 波束形成对于心脏超声成像来说是可行的，在元素空间和波束空间中都提供了具有改善的横向分辨率的图像。
