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Noise cancellation technique for Doppler ultrasound spectrogram enhancement

机译：多普勒超声波谱图增强噪声消除技术

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摘要

Doppler ultrasound (DU) automatic detection of clinically relevant blood flow spectral parameters may be a difficult task when the spectrogram is corrupted with different types of noise. This paper introduces a technique to eliminate the spectrogram background noise without damaging the blood flow signals' content. Tests were performed on simulated signals with known spectral characteristics. Different signal to noise ratios were tested. Results of 100 signals were averaged. Based on the STFT spectrogram the center frequency and bandwidth of the simulated noisy signals were computed and evaluated against the deterministic curve. Results obtained by defining the background area of DU simulated signals and applying 7% of Cancellation level on signals with 10 dB of signal-to-noise ratio (SNR) produced mean frequency estimations with a maximum bias of 106 Hz. The maximum bias of the bandwidth estimations in this case was 124 Hz. Since the sampling frequency of the DU simulated signals were 12800 Hz, usage of the proposed noise cancelation technique enabled spectral parameters estimations with meaningless errors demonstrating the effectiveness of the proposed technique.
机译：多普勒超声（DU）自动检测临床相关的血流谱参数可能是频谱图损坏的噪声损坏时是困难的任务。本文介绍了一种消除谱图背景噪声而不损坏血流信号的内容的技术。对具有已知光谱特性的模拟信号进行测试。测试了对噪声比的不同信号。将100个信号的结果平均。基于STFT频谱图，计算和评估模拟噪声信号的中心频率和带宽，并针对确定性曲线进行评估。通过定义DU模拟信号的背景区域获得的结果，并在具有10dB的信噪比（SNR）的信号上的信号上施加7％的消除水平产生的平均频率估计，具有106Hz的最大偏差。在这种情况下，带宽估计的最大偏差为124 Hz。由于DU模拟信号的采样频率为12800Hz，因此使用所提出的噪声消除技术的使用使得具有缺陷误差的频谱参数估计，证明了所提出的技术的有效性。

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