van Sloun Ruud, Pandharipande Ashish, Mischi Massimo, Demi Libertario
IEEE Trans Biomed Eng. 2015 Jun;62(6):1660-4. doi: 10.1109/TBME.2015.2422135. Epub 2015 Apr 10.
Ultrasound computed tomography (UCT) allows the reconstruction of quantitative tissue characteristics, such as speed of sound, mass density, and attenuation. Lowering its acquisition time would be beneficial; however, this is fundamentally limited by the physical time of flight and the number of transmission events. In this letter, we propose a compressed sensing solution for UCT. The adopted measurement scheme is based on compressed acquisitions, with concurrent randomised transmissions in a circular array configuration. Reconstruction of the image is then obtained by combining the born iterative method and total variation minimization, thereby exploiting variation sparsity in the image domain. Evaluation using simulated UCT scattering measurements shows that the proposed transmission scheme performs better than uniform undersampling, and is able to reduce acquisition time by almost one order of magnitude, while maintaining high spatial resolution.
超声计算机断层扫描（UCT）能够重建定量的组织特征，如声速、质量密度和衰减。缩短其采集时间将是有益的；然而，这从根本上受到飞行时间物理限制和发射事件数量的制约。在本信函中，我们提出一种用于UCT的压缩感知解决方案。所采用的测量方案基于压缩采集，在圆形阵列配置中进行并发随机发射。然后通过结合玻恩迭代法和总变差最小化来获得图像重建，从而利用图像域中的变化稀疏性。使用模拟UCT散射测量进行的评估表明，所提出的发射方案比均匀欠采样表现更好，并且能够在保持高空间分辨率的同时将采集时间减少近一个数量级。
