NDLI: A simulator for mixed Doppler ultrasound signals from pulsatile blood flow and vessel wall with mild stenosis

Content Provider	IEEE Xplore Digital Library
Author	Yufeng Zhang Lian Gao Kai Shen Kexin Zhang Jine Yan Wei Cheng Junhua Zhang
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. Eng., Yunnan Univ., Kunming, China (Yufeng Zhang; Lian Gao; Kai Shen; Jine Yan; Wei Cheng; Junhua Zhang) \|\| Cardiovascular Dept., Second Affiliated Hosp. of Kunming Med. Coll., Kunming, China (Kexin Zhang)
Abstract	A novel computer simulator to generate mixed Doppler ultrasound signals from the pulsatile blood flow and vessel wall with mild stenosis is presented in this paper. In-phase and quadrature Doppler blood flow signals are generated using cosine-superposed components modulated by a spectrogram estimated from velocity profile. Meanwhile,Doppler signals echoed from bidirectional moving walls are generated with the input waveforms of the wall velocities. Finally, the Doppler signals determined above are summed respectively to yield the combined Doppler signals in terms of given sample volume shape. The experimental results show that the proposed simulator generates mixed Doppler signals with the characteristics similar to those found in practice, and could be an useful experimental data source for evaluating the performance of wall filters.
Starting Page	1903
Ending Page	1906
File Size	629005
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6609897
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Doppler effect Blood flow Ultrasonic imaging Spectrogram Computational modeling Blood Arteries Pulsatile blood flow Mixed Doppler ultrasound signal simulator Mild local-stenosis Vessel wall beat
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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