Page 93 - 《应用声学》2021年第1期

第 40 卷 第 1 期 Vol. 40, No. 1
2021 年 1 月 Journal of Applied Acoustics January, 2021

⋄ 研究报告 ⋄

奇异值分解滤波器在超声造影成像的应用及

性能分析 ∗

章希睿 桑茂栋 杜宜纲 林穆清 朱 磊 †

(深圳迈瑞生物医疗电子股份有限公司 深圳 518057)

摘要：信噪比和造影 -组织残留比是衡量造影性能的主要指标，现有提升方法多从频域入手，存在两个缺陷：噪
声、组织残留与造影剂信号存在频带重叠时 (如二次谐波)，频域滤波性能受限；虽然非线性基波、次谐波等方
法可解决频带重叠问题，但面对前端电路非对称性及信号饱和导致的组织残留，仍难在频域进行滤除。奇异值
分解滤波器是一种非频域方法，可将接收信号分解成若干空时域子空间，通过对子空间进行保留及重组，可提
取微泡且滤除噪声与组织残留。该文研究了该类滤波器在造影成像的应用，并采用性能分析实验论证了其可
行性与优越性。
关键词：超声造影成像；奇异值分解；联合空时滤波器；性能分析
中图法分类号: R318 文献标识码: A 文章编号: 1000-310X(2021)01-0089-08
DOI: 10.11684/j.issn.1000-310X.2021.01.011

Application and performance analysis of singular value decomposition filter
in contrast-enhanced ultrasound

ZHANG Xirui SANG Maodong DU Yigang LIN Muqing ZHU Lei

(Shenzhen Mindray Bio-Medical Electronics Co., Ltd., Shenzhen 518057, China)

Abstract: The performance of contrast-enhanced ultrasound (CEUS) is usually evaluated in terms of signal-
to-noise ratio (SNR) and contrast-to-tissue ratio (CTR), which are commonly improved by filters in frequency
domain. Drawbacks of these filters can be addressed as two aspects: (1) the filtering performance is of limi-
tation as a result of the band overlap problem occurring between noise/residual tissue signal and microbubble
(MB) signal (e.g., second harmonic); (2) although the band overlap can be tackled with methods such as non-
linear fundamental and sub-harmonic, the residual tissue caused by asymmetry of emitting hardware and signal
saturation is still difficult to be eliminated. The singular value decomposition (SVD) filter is a non-frequency
domain method. In particular, it firstly decomposes the receiving signals into several spatiotemporal subspaces
via SVD, and then separates MB from noise and residual tissue by preserving targeted subspaces and recom-
posing them. This paper has applied the SVD filter in CEUS, and verified its feasibility and superiority based
on performance analysis experiments.
Keywords: Contrast-enhanced ultrasound; Singular value decomposition; Spatiotemporal filter; Performance
analysis

2020-04-03 收稿; 2020-07-15 定稿
国家重点研发计划资助 (2018YFC0116000)
∗
作者简介: 章希睿 (1984– ), 男, 贵州凯里人, 博士, 高级工程师, 研究方向: 超声成像系统, 造影成像。
† 通信作者 E-mail: zhulei@mindray.com