Utilization of singular value decomposition in high-frame-rate cardiac blood flow imaging
Utilization of singular value decomposition in high-frame-rate cardiac blood flow imaging
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DOI：
10.7567/1347-4065/ab1131
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发表时间：
2019-07-01
影响因子：
1.5
通讯作者：
Hasegawa, Hideyuki
中科院分区：
文献类型：
--
作者：
Mozumi, Michiya;Nagaoka, Ryo;Hasegawa, Hideyuki
血流可视化对于评估心脏功能很重要。在本研究中，我们提出了两种基于奇异值分解（SVD）的信号处理技术用于血流可视化：一种是用于减少杂波的滤波，另一种是彩色多普勒图像的正则化方法。在杂波滤波中，SVD滤波获得的信噪比(15.7 dB)优于传统有限脉冲响应滤波(-0.5 dB)。在彩色血流成像中，通过所提出的正则化方法，心脏血流的标准差从0.022降低到0.014 mm s(-1)。 (C) 2019 日本应用物理学会
Visualization of blood flow is important to evaluate the cardiac function. In this study, we propose two signal processing techniques based on singular value decomposition (SVD) for the visualization of blood flow: one is a filtering for clutter reduction and the other is a regularization method for color Doppler images. In the clutter filtering, contrast-to-noise ratio obtained by the SVD filtering was better (15.7 dB) than that by conventional finite impulse response filtering (-0.5 dB). In color flow imaging, the standard deviation of cardiac blood flow was decreased from 0.022 to 0.014 mm s(-1) by the proposed regularization method. (C) 2019 The Japan Society of Applied Physics