An improved method based on wavelet coefficient correlation to filter noise in Doppler ultrasound blood flow signals

Renzhi Wan; Yunxiao Zu; Lin Shao

doi:10.1117/12.2302612

10 April 2018 An improved method based on wavelet coefficient correlation to filter noise in Doppler ultrasound blood flow signals

Renzhi Wan, Yunxiao Zu, Lin Shao

Author Affiliations +

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106155D (2018) https://doi.org/10.1117/12.2302612
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

The blood echo signal maintained through Medical ultrasound Doppler devices would always include vascular wall pulsation signal .The traditional method to de-noise wall signal is using high-pass filter, which will also remove the lowfrequency part of the blood flow signal. Some scholars put forward a method based on region selective reduction, which at first estimates of the wall pulsation signals and then removes the wall signal from the mixed signal. Apparently, this method uses the correlation between wavelet coefficients to distinguish blood signal from wall signal, but in fact it is a kind of wavelet threshold de-noising method, whose effect is not so much ideal. In order to maintain a better effect, this paper proposes an improved method based on wavelet coefficient correlation to separate blood signal and wall signal, and simulates the algorithm by computer to verify its validity.

Citation Download Citation

Renzhi Wan, Yunxiao Zu, and Lin Shao "An improved method based on wavelet coefficient correlation to filter noise in Doppler ultrasound blood flow signals", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106155D (10 April 2018); https://doi.org/10.1117/12.2302612

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