Stable automatic envelope estimation for noisy doppler ultrasound

Latham, J., Hicks, Y. A. ORCID: https://orcid.org/0000-0002-7179-4587, Yang, X. ORCID: https://orcid.org/0000-0002-8429-7598, Setchi, R. ORCID: https://orcid.org/0000-0002-7207-6544 and Rainer, T. ORCID: https://orcid.org/0000-0003-3355-3237 2021. Stable automatic envelope estimation for noisy doppler ultrasound. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 68 (3) , pp. 465-481. 10.1109/TUFFC.2020.3011823

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Abstract

Doppler ultrasound technology is widespread in clinical applications and is principally used for blood flow measurements in the heart, arteries and veins. A commonly extracted parameter is the maximum velocity envelope. However, current methods of extracting it cannot produce stable envelopes in high noise conditions. This can limit clinical and research applications using the technology. In this article, a new method of automatic envelope estimation is presented. The method can handle challenging signals with high levels of noise and variable envelope shapes. Envelopes are extracted from a Doppler spectrogram image generated directly from the Doppler audio signal, making it less device-dependent than existing imageprocessing methods. The method’s performance is assessed using simulated pulsatile flow, a flow phantom and in-vivo ascending aortic flow measurements and is compared with three state-of-the-art methods. The proposed method is the most accurate in noisy conditions, achieving on average for phantom data with SNRs below 10 dB, a bias and standard deviation 0.7% and 3.3% lower than the next-best performing method. In addition, a new method for beat segmentation is proposed. When combined, the two proposed methods exhibited the best performance using invivo data, producing the least number of incorrectly segmented beats and 8.2% more correctly segmented beats than the next best performing method. The ability of the proposed methods to reliably extract timing indices for cardiac cycles across a range of signal quality is of particular significance for research and monitoring applications.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine Engineering
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
ISSN:	0885-3010
Date of First Compliant Deposit:	22 July 2020
Date of Acceptance:	21 July 2020
Last Modified:	20 Nov 2024 23:00
URI:	https://orca.cardiff.ac.uk/id/eprint/133668

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