Estimation of sound velocity based on evaluation of edge conspicuity
In this paper, a new method is proposed to minimize defocusing effects due to wrong selection of sound velocity used in dynamic receive beamforming. To find an optimal sound velocity, the proposed method calculates the degree of edge conspicuity by using a nonlinear anisotropic diffusion (NAD) techn...
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creator | Haijin Seo Yuhwa Lee Yangmo Yoo Tai-kyong Song Jin Ho Chang |
description | In this paper, a new method is proposed to minimize defocusing effects due to wrong selection of sound velocity used in dynamic receive beamforming. To find an optimal sound velocity, the proposed method calculates the degree of edge conspicuity by using a nonlinear anisotropic diffusion (NAD) technique. For this, images are formed with different sound velocities ranging 1400 to 1600 m/s and subsequently the region of interest (ROI) is chosen. In ROI, the degrees of edge conspicuity are calculated. The sound velocity can be considered as an optimal one for the ROI if it is used for the image that provides the maximum degree of edge conspicuity. To evaluate the performances of proposed method, pre-beamformed RF data were acquired from a phantom with a sound velocity of 1460 m/s by using a commercial ultrasound scanner (SA-9900, Medison, Corp., Korea) and the edge gradient was calculated. The estimation error and variance were 0.99% and 9.89%, respectively. These results indicate that the proposed method for sound velocity estimation is capable of providing accurate and consistent sound velocity in the ROI. |
doi_str_mv | 10.1109/ULTSYM.2010.5935654 |
format | Conference Proceeding |
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To find an optimal sound velocity, the proposed method calculates the degree of edge conspicuity by using a nonlinear anisotropic diffusion (NAD) technique. For this, images are formed with different sound velocities ranging 1400 to 1600 m/s and subsequently the region of interest (ROI) is chosen. In ROI, the degrees of edge conspicuity are calculated. The sound velocity can be considered as an optimal one for the ROI if it is used for the image that provides the maximum degree of edge conspicuity. To evaluate the performances of proposed method, pre-beamformed RF data were acquired from a phantom with a sound velocity of 1460 m/s by using a commercial ultrasound scanner (SA-9900, Medison, Corp., Korea) and the edge gradient was calculated. The estimation error and variance were 0.99% and 9.89%, respectively. 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To find an optimal sound velocity, the proposed method calculates the degree of edge conspicuity by using a nonlinear anisotropic diffusion (NAD) technique. For this, images are formed with different sound velocities ranging 1400 to 1600 m/s and subsequently the region of interest (ROI) is chosen. In ROI, the degrees of edge conspicuity are calculated. The sound velocity can be considered as an optimal one for the ROI if it is used for the image that provides the maximum degree of edge conspicuity. To evaluate the performances of proposed method, pre-beamformed RF data were acquired from a phantom with a sound velocity of 1460 m/s by using a commercial ultrasound scanner (SA-9900, Medison, Corp., Korea) and the edge gradient was calculated. The estimation error and variance were 0.99% and 9.89%, respectively. These results indicate that the proposed method for sound velocity estimation is capable of providing accurate and consistent sound velocity in the ROI.</description><subject>Adaptive beamforming</subject><subject>Array signal processing</subject><subject>Estimation</subject><subject>Image edge detection</subject><subject>nonlinear anisotropic diffusion</subject><subject>Phantoms</subject><subject>Radio frequency</subject><subject>sound speed estimation</subject><subject>Speckle</subject><subject>Ultrasonic imaging</subject><issn>1051-0117</issn><isbn>1457703823</isbn><isbn>9781457703829</isbn><isbn>9781457703812</isbn><isbn>1457703807</isbn><isbn>9781457703805</isbn><isbn>1457703815</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9kMtOw0AMRQcBEqXkC7rJD6TYmVdmiUp5SEEsCAtW1UzGQYNCU3WSSv17RqLgzZXto6trM7ZAWCKCuX2vm7ePl2UJaSANl0qKM5YZXaGQWgOvsDxn139NyS_YDEFiAYj6imUxfkEqpYwuYcbu13EM33YMwzYfujwO09bnB-qHNozH3NlIPk8rOth--qfIf1LeDtu4C-2UuBt22dk-UnbSOWse1s3qqahfH59Xd3URDIwFemyVA2WdrLS2nfdWogOygji2LsVNR5SkO-2EURyEF5Z8R6KSiUbN52zxaxuIaLPbp9z74-b0A_4DLBhPJg</recordid><startdate>201010</startdate><enddate>201010</enddate><creator>Haijin Seo</creator><creator>Yuhwa Lee</creator><creator>Yangmo Yoo</creator><creator>Tai-kyong Song</creator><creator>Jin Ho Chang</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201010</creationdate><title>Estimation of sound velocity based on evaluation of edge conspicuity</title><author>Haijin Seo ; Yuhwa Lee ; Yangmo Yoo ; Tai-kyong Song ; Jin Ho Chang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-1d1c6b06ab5877afdda51b0ea4e31cb7709782e7f7b496304d4aedfe4857af173</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adaptive beamforming</topic><topic>Array signal processing</topic><topic>Estimation</topic><topic>Image edge detection</topic><topic>nonlinear anisotropic diffusion</topic><topic>Phantoms</topic><topic>Radio frequency</topic><topic>sound speed estimation</topic><topic>Speckle</topic><topic>Ultrasonic imaging</topic><toplevel>online_resources</toplevel><creatorcontrib>Haijin Seo</creatorcontrib><creatorcontrib>Yuhwa Lee</creatorcontrib><creatorcontrib>Yangmo Yoo</creatorcontrib><creatorcontrib>Tai-kyong Song</creatorcontrib><creatorcontrib>Jin Ho Chang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Haijin Seo</au><au>Yuhwa Lee</au><au>Yangmo Yoo</au><au>Tai-kyong Song</au><au>Jin Ho Chang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Estimation of sound velocity based on evaluation of edge conspicuity</atitle><btitle>2010 IEEE International Ultrasonics Symposium</btitle><stitle>ULTSYM</stitle><date>2010-10</date><risdate>2010</risdate><spage>1751</spage><epage>1754</epage><pages>1751-1754</pages><issn>1051-0117</issn><isbn>1457703823</isbn><isbn>9781457703829</isbn><eisbn>9781457703812</eisbn><eisbn>1457703807</eisbn><eisbn>9781457703805</eisbn><eisbn>1457703815</eisbn><abstract>In this paper, a new method is proposed to minimize defocusing effects due to wrong selection of sound velocity used in dynamic receive beamforming. To find an optimal sound velocity, the proposed method calculates the degree of edge conspicuity by using a nonlinear anisotropic diffusion (NAD) technique. For this, images are formed with different sound velocities ranging 1400 to 1600 m/s and subsequently the region of interest (ROI) is chosen. In ROI, the degrees of edge conspicuity are calculated. The sound velocity can be considered as an optimal one for the ROI if it is used for the image that provides the maximum degree of edge conspicuity. To evaluate the performances of proposed method, pre-beamformed RF data were acquired from a phantom with a sound velocity of 1460 m/s by using a commercial ultrasound scanner (SA-9900, Medison, Corp., Korea) and the edge gradient was calculated. The estimation error and variance were 0.99% and 9.89%, respectively. These results indicate that the proposed method for sound velocity estimation is capable of providing accurate and consistent sound velocity in the ROI.</abstract><pub>IEEE</pub><doi>10.1109/ULTSYM.2010.5935654</doi><tpages>4</tpages></addata></record> |
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subjects | Adaptive beamforming Array signal processing Estimation Image edge detection nonlinear anisotropic diffusion Phantoms Radio frequency sound speed estimation Speckle Ultrasonic imaging |
title | Estimation of sound velocity based on evaluation of edge conspicuity |
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