Wavelet transforms in estimating scatterer spacing from ultrasound echoes

Tang, X. and Abeyratne, Udantha R. (2000) Wavelet transforms in estimating scatterer spacing from ultrasound echoes. Ultrasonics, 38 1-8: 688-692. doi:10.1016/S0041-624X(99)00150-X

Author Tang, X.
Abeyratne, Udantha R.
Title Wavelet transforms in estimating scatterer spacing from ultrasound echoes
Journal name Ultrasonics   Check publisher's open access policy
ISSN 0041-624X
Publication date 2000-03
Sub-type Article (original research)
DOI 10.1016/S0041-624X(99)00150-X
Volume 38
Issue 1-8
Start page 688
End page 692
Total pages 5
Place of publication Amsterdam, The Netherlands
Publisher Elsevier
Collection year 2000
Language eng
Formatted abstract
Ultrasound echoes from organs such as the liver display resolvable periodicity due to regular scattering centers within tissue. The spacing among such scattering centers has been proposed as a signature to characterize diffuse and focal diseases of the liver. Even though it is highly desirable to be able to estimate an inter-scatterer-spacing (ISS) distribution, current methods can estimate only the mean value of scatterer spacing (MSS) over a tissue length. In this paper, we propose a wavelet transform-based technique that is capable of estimating the location of each scattering center, making it possible to obtain the ISS distribution. We represent liver tissue with a point scatterer model, and show, via computer simulations, that the use of multi-scale information in the wavelet scale-space allows us to estimate the locations of regular scattering centers. We show that both the observation noise and random ultrasound returns from unresolvable tissue microstructure can be removed successfully in the wavelet domain via the properties of the modulus maxima sequence of observation across different scales.
Keyword Dyadic wavelet transform
Modulus maxima
Scatterer spacing
Tissue Characterization
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 13 times in Scopus Article | Citations
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Created: Wed, 14 Nov 2012, 13:09:38 EST by Dr Udantha Abeyratne on behalf of School of Information Technol and Elec Engineering