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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sg-ntu-dr.10356-33592023-07-04T16:41:17Z Wavelet transforms in estimating scatterer spacing from ultrasound echoes Tang, Xiaoyan. Udantha Ranjith Abeyratne School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing 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. Master of Engineering 2008-09-17T09:28:14Z 2008-09-17T09:28:14Z 2000 2000 Thesis http://hdl.handle.net/10356/3359 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Tang, Xiaoyan. Wavelet transforms in estimating scatterer spacing from ultrasound echoes |
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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. |
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Udantha Ranjith Abeyratne |
author_facet |
Udantha Ranjith Abeyratne Tang, Xiaoyan. |
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Theses and Dissertations |
author |
Tang, Xiaoyan. |
author_sort |
Tang, Xiaoyan. |
title |
Wavelet transforms in estimating scatterer spacing from ultrasound echoes |
title_short |
Wavelet transforms in estimating scatterer spacing from ultrasound echoes |
title_full |
Wavelet transforms in estimating scatterer spacing from ultrasound echoes |
title_fullStr |
Wavelet transforms in estimating scatterer spacing from ultrasound echoes |
title_full_unstemmed |
Wavelet transforms in estimating scatterer spacing from ultrasound echoes |
title_sort |
wavelet transforms in estimating scatterer spacing from ultrasound echoes |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/3359 |
_version_ |
1772828498095767552 |