论文标题
通过交替优化问题快速高分辨率的血流估计和混乱排斥
Fast High Resolution Blood Flow Estimation and Clutter Rejection via an Alternating Optimization Problem
论文作者
论文摘要
本文介绍了一种计算高效的技术，该技术用于估计超高超声图像序列的高分辨率多普勒血流。更确切地说，它由一种新的快速交替的最小化算法组成，该算法基于强大的主成分分析实现了盲卷卷积方法。在\ textit {in Vivo}数据上进行的数值研究显示了与最新方法相比，所提出的方法的效率。
This paper introduces a computationally efficient technique for estimating high-resolution Doppler blood flow from an ultrafast ultrasound image sequence. More precisely, it consists in a new fast alternating minimization algorithm that implements a blind deconvolution method based on robust principal component analysis. Numerical investigation carried out on \textit{in vivo} data shows the efficiency of the proposed approach in comparison with state-of-the-art methods.
