基于低秩加稀疏优化的微血管非对比超声血流多普勒处理杂波和噪声抑制

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Pub Date : 2018-09-10 DOI:10.1109/ICASSP.2018.8461638

Mahdi Bayat, M. Fatemi

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引用次数: 18

摘要

提出了一种低秩加稀疏框架，用于非对比超声成像回波群的多普勒处理中杂波和噪声的抑制。假设低秩分量主要代表强组织杂波信号，稀疏分量主要代表微血管慢血流收到的血液回波。将该方法应用于仿真数据，结果表明该方法在去除杂波和背景噪声方面优于传统的奇异值阈值法。

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Concurrent Clutter and Noise Suppression via Low Rank Plus Sparse Optimization for Non-Contrast Ultrasound Flow Doppler Processing in Microvasculature

A low rank plus sparse framework for concurrent clutter and noise suppression in Doppler processing of echo ensembles obtained by non-contrast ultrasound imaging is presented. A low rank component which represents mostly strong tissue clutter signal and a sparse component which represents mostly blood echoes received from slow flows in microvasculature are assumed. The proposed method is applied to simulated data and its superior performance over conventional singular value thresholding in removing clutter and background noise is presented.

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来源期刊

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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