Sound speed optimization based on fuzzy sets using image texture as quality factors

Sound speed optimization based on fuzzy sets using image texture as quality factors

A constant sound speed of 1540 m/s is usually used by ultrasound imaging systems for calculating delay curves in beamforming. A mismatch of this constant system sound speed and the real one in human tissue could result in significant defocusing and degrade the image resolution in the modern ultrasou...

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Bibliographic Details
Main Author: He Xingwu
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:BIO Web of Conferences
Online Access:http://dx.doi.org/10.1051/bioconf/20170803014
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spelling doaj-ac3fbef9515146fba38482f2ceb317022021-04-02T16:25:51ZengEDP SciencesBIO Web of Conferences2117-44582017-01-0180301410.1051/bioconf/20170803014bioconf_icmsb2017_03014Sound speed optimization based on fuzzy sets using image texture as quality factorsHe XingwuA constant sound speed of 1540 m/s is usually used by ultrasound imaging systems for calculating delay curves in beamforming. A mismatch of this constant system sound speed and the real one in human tissue could result in significant defocusing and degrade the image resolution in the modern ultrasound imaging system. This paper has investigated characteristics and potential relationship of image texture parameters to image focusing quality due to unmatched speed of sound. Algorithms for sound speed optimization (SSO) system based on fuzzy process and image texture parameters are presented. The proposed method has been investigated and verified from phantom imaging including speckle, point targets and cyst images. Test results show that individual texture feature may help to determine appropriate sound speed used for beamforming; however, only the proposed fuzzy process based system can achieve the best sound speed detection with consistent and robust output.http://dx.doi.org/10.1051/bioconf/20170803014
collection DOAJ
language English
format Article
sources DOAJ
author He Xingwu
spellingShingle He Xingwu
Sound speed optimization based on fuzzy sets using image texture as quality factors
BIO Web of Conferences
author_facet He Xingwu
author_sort He Xingwu
title Sound speed optimization based on fuzzy sets using image texture as quality factors
title_short Sound speed optimization based on fuzzy sets using image texture as quality factors
title_full Sound speed optimization based on fuzzy sets using image texture as quality factors
title_fullStr Sound speed optimization based on fuzzy sets using image texture as quality factors
title_full_unstemmed Sound speed optimization based on fuzzy sets using image texture as quality factors
title_sort sound speed optimization based on fuzzy sets using image texture as quality factors
publisher EDP Sciences
series BIO Web of Conferences
issn 2117-4458
publishDate 2017-01-01
description A constant sound speed of 1540 m/s is usually used by ultrasound imaging systems for calculating delay curves in beamforming. A mismatch of this constant system sound speed and the real one in human tissue could result in significant defocusing and degrade the image resolution in the modern ultrasound imaging system. This paper has investigated characteristics and potential relationship of image texture parameters to image focusing quality due to unmatched speed of sound. Algorithms for sound speed optimization (SSO) system based on fuzzy process and image texture parameters are presented. The proposed method has been investigated and verified from phantom imaging including speckle, point targets and cyst images. Test results show that individual texture feature may help to determine appropriate sound speed used for beamforming; however, only the proposed fuzzy process based system can achieve the best sound speed detection with consistent and robust output.
url http://dx.doi.org/10.1051/bioconf/20170803014
work_keys_str_mv AT hexingwu soundspeedoptimizationbasedonfuzzysetsusingimagetextureasqualityfactors
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