Dual-domain compressed beamforming for medical ultrasound imaging
Dual-domain compressed beamforming for medical ultrasound imaging
复制标题
用于医学超声成像的双域压缩波束形成
DOI：
--
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
G. David
中科院分区：
文献类型：
--
作者：
Bo Zhang;J. Robert;G. David
在本文中，我们提出了一种新的波束形成方法的基础上的双域压缩感知（CS）技术。我们将图像建模为几何信息和残余细节的组合。波束形成被制定为深度相关的优化问题，先后解决在小波域捕获的整体几何形状，并在图像域中保存细节。与单域重建相比，我们的方法具有较少的迭代预算，保留了更好的功能，并产生更少的孔组织伪影。通过对模拟数据、CIRS体模和心脏扫描的测试，我们的波束形成通常需要三次平面/球面波传输，才能实现与使用十一次传输的延迟求和（DAS）相当或更好的图像质量。因此，我们在15 cm深度处获得了超过1 KHz的理论帧速率。
In this paper, we propose a novel beamforming approach based on a dual-domain compressed sensing (CS) technique. We model the image as a combination of geometry information and residual details. The beamforming is formulated as depth-dependent optimization problems, solved successively in wavelet domain to capture the overall geometry, and in the image domain to preserve details. With a budget of few iterations, our approach preserves better features and produces less holey-tissue artifacts compared to single-domain reconstructions. Tested on simulated data, CIRS phantom and a cardiac scan, our beamforming requires typically three plane/spherical-wave transmissions to achieve comparable or better image quality than delay-and-sum (DAS) using eleven transmissions. We thus attain a theoretical frame rate over 1KHz at depth of 15cm.