Abstract
In this paper we present a wavelet transform based cross-correlation (WTCC) technique for assessment of blood flow velocity. Unlike the conventional windowed cross-correlation (WCC) technique, the proposed method has varying time-frequency resolutions by performing cross-correlation in the wavelet-domain; Because of this unique feature the WTCC has advantages over the WCC in performance. In particular, it has better performance for low signal-to-noise cases and is less sensitive to window size and system parameters in comparison with the WCC technique. Two simulation examples are used to show that the WTCC technique has a smaller failure rate and more accurate time- shift estimation in a single-cluster-of-scatterers case and provides a better estimation of the blood flow velocity profile in a simulated case of parabolic blood flow assessment.
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© 1995 Springer Science+Business Media New York
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Xu, XL., Zou, H., Greenleaf, J.F. (1995). Blood Flow Assessment Using Wavelet Transform Based Cross-Correlation Technique. In: Jones, J.P. (eds) Acoustical Imaging. Acoustical Imaging, vol 21. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1943-0_50
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DOI: https://doi.org/10.1007/978-1-4615-1943-0_50
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5797-1
Online ISBN: 978-1-4615-1943-0
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