Wavelet transforms in estimating scatterer spacing from ultrasound echoes

In this thesis, we propose a wavelet transform based technique, which 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 simulation and clinical data, that...

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Bibliographic Details
Main Author: Tang, Xiaoyan.
Other Authors: Udantha Ranjith Abeyratne
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/3359
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Institution: Nanyang Technological University
Description
Summary:In this thesis, we propose a wavelet transform based technique, which 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 simulation and clinical data, 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 Modulus Maxima Sequence of observation across different scales.