Fast adaptive beamforming through a cascade structure for ultrasound imaging
Purpose A major limiting factor for applying a minimum variance (MV) beamformer in medical ultrasound imaging is its high computational complexity. This paper introduces a new fast MV beamforming method with almost the same capabilities as the standard MV. Methods The fast beamformer is implemented...
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Veröffentlicht in: | Journal of medical ultrasonics (2001) 2019-07, Vol.46 (3), p.287-296 |
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container_title | Journal of medical ultrasonics (2001) |
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creator | Shamsian, Seyede Elham Sakhaei, Sayed Mahmoud |
description | Purpose
A major limiting factor for applying a minimum variance (MV) beamformer in medical ultrasound imaging is its high computational complexity. This paper introduces a new fast MV beamforming method with almost the same capabilities as the standard MV.
Methods
The fast beamformer is implemented using a cascade structure. At the first stage, the echo signals received from the points far from the main axis are strongly suppressed using a fixed-weight beamformer. At the second stage, after spatially decimating the output of the first stage, an MV-based adaptive beamformer is used to eliminate the echo signals from the points adjacent to the focal point. The greatest advantage of the proposed method is that the second beamformer can be a low-complexity implementation of MV such as beamspace (BS) MV to further reduce the complexity, resulting in a superfast MV.
Results
The resulting beamformers were evaluated through both simulation and experimental data, and it was verified that the method was competitive with standard MV and BS methods at a lower computational cost.
Conclusion
The new fast and superfast MV methods are capable of obtaining the same results as the MV and BS-MV, at a significantly lower computational cost. |
doi_str_mv | 10.1007/s10396-019-00930-w |
format | Article |
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A major limiting factor for applying a minimum variance (MV) beamformer in medical ultrasound imaging is its high computational complexity. This paper introduces a new fast MV beamforming method with almost the same capabilities as the standard MV.
Methods
The fast beamformer is implemented using a cascade structure. At the first stage, the echo signals received from the points far from the main axis are strongly suppressed using a fixed-weight beamformer. At the second stage, after spatially decimating the output of the first stage, an MV-based adaptive beamformer is used to eliminate the echo signals from the points adjacent to the focal point. The greatest advantage of the proposed method is that the second beamformer can be a low-complexity implementation of MV such as beamspace (BS) MV to further reduce the complexity, resulting in a superfast MV.
Results
The resulting beamformers were evaluated through both simulation and experimental data, and it was verified that the method was competitive with standard MV and BS methods at a lower computational cost.
Conclusion
The new fast and superfast MV methods are capable of obtaining the same results as the MV and BS-MV, at a significantly lower computational cost.</description><identifier>ISSN: 1346-4523</identifier><identifier>EISSN: 1613-2254</identifier><identifier>DOI: 10.1007/s10396-019-00930-w</identifier><identifier>PMID: 30796541</identifier><language>eng</language><publisher>Singapore: Springer Singapore</publisher><subject>Beamforming ; Complexity ; Computational efficiency ; Computing costs ; Fourier transforms ; Imaging ; Medicine ; Medicine & Public Health ; Methods ; Original Article ; Radiology ; Ultrasonic imaging ; Ultrasound ; Ultrasound imaging</subject><ispartof>Journal of medical ultrasonics (2001), 2019-07, Vol.46 (3), p.287-296</ispartof><rights>The Japan Society of Ultrasonics in Medicine 2019</rights><rights>COPYRIGHT 2019 Springer</rights><rights>The Japan Society of Ultrasonics in Medicine 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c532t-102d09622208bbff4e6b15a7927694be9a6160f25efd8bdbc4e8a8bb439183da3</citedby><cites>FETCH-LOGICAL-c532t-102d09622208bbff4e6b15a7927694be9a6160f25efd8bdbc4e8a8bb439183da3</cites><orcidid>0000-0003-3961-4395</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10396-019-00930-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918187393?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,777,781,21369,21370,27905,27906,33511,33512,33725,33726,41469,42538,43640,43786,51300,64364,64366,64368,72218</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30796541$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shamsian, Seyede Elham</creatorcontrib><creatorcontrib>Sakhaei, Sayed Mahmoud</creatorcontrib><title>Fast adaptive beamforming through a cascade structure for ultrasound imaging</title><title>Journal of medical ultrasonics (2001)</title><addtitle>J Med Ultrasonics</addtitle><addtitle>J Med Ultrason (2001)</addtitle><description>Purpose
A major limiting factor for applying a minimum variance (MV) beamformer in medical ultrasound imaging is its high computational complexity. This paper introduces a new fast MV beamforming method with almost the same capabilities as the standard MV.
Methods
The fast beamformer is implemented using a cascade structure. At the first stage, the echo signals received from the points far from the main axis are strongly suppressed using a fixed-weight beamformer. At the second stage, after spatially decimating the output of the first stage, an MV-based adaptive beamformer is used to eliminate the echo signals from the points adjacent to the focal point. The greatest advantage of the proposed method is that the second beamformer can be a low-complexity implementation of MV such as beamspace (BS) MV to further reduce the complexity, resulting in a superfast MV.
Results
The resulting beamformers were evaluated through both simulation and experimental data, and it was verified that the method was competitive with standard MV and BS methods at a lower computational cost.
Conclusion
The new fast and superfast MV methods are capable of obtaining the same results as the MV and BS-MV, at a significantly lower computational cost.</description><subject>Beamforming</subject><subject>Complexity</subject><subject>Computational efficiency</subject><subject>Computing costs</subject><subject>Fourier transforms</subject><subject>Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Methods</subject><subject>Original Article</subject><subject>Radiology</subject><subject>Ultrasonic imaging</subject><subject>Ultrasound</subject><subject>Ultrasound imaging</subject><issn>1346-4523</issn><issn>1613-2254</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kU9v1DAQxS0EomXhC3BAlrhwSRn_TXysKgpIK3GBszVx7DRVEi92TMW3x8sWKhDi5JHn955m5hHyksEFA2jfZgbC6AaYaQCMgObuETlnmomGcyUf11pI3UjFxRl5lvMtgBQS-FNyJqA1Wkl2TvbXmDeKAx626ZunvcclxLRM60i3mxTLeEOROswOB0_zlorbSvK0MrTMW8IcyzrQacGxSp6TJwHn7F_cvzvy5frd56sPzf7T-49Xl_vGKcG3hgEfwGjOOXR9H4L0umcKW8NbbWTvDWqmIXDlw9D1Q--k77CSUhjWiQHFjrw5-R5S_Fp83uwyZefnGVcfS7acdUopwztZ0dd_obexpLVOZ3l1Y10rjHigRpy9ndYQ62ruaGovWyY7A0dsRy7-QeHxNMvk4urDVP__EPCTwKWYc_LBHlI9VfpuGdhjhPYUoa0R2p8R2rsqenU_cekXP_yW_MqsAuIE5NpaR58eVvqP7Q8cHaV8</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Shamsian, Seyede Elham</creator><creator>Sakhaei, Sayed Mahmoud</creator><general>Springer Singapore</general><general>Springer</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3961-4395</orcidid></search><sort><creationdate>20190701</creationdate><title>Fast adaptive beamforming through a cascade structure for ultrasound imaging</title><author>Shamsian, Seyede Elham ; Sakhaei, Sayed Mahmoud</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c532t-102d09622208bbff4e6b15a7927694be9a6160f25efd8bdbc4e8a8bb439183da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Beamforming</topic><topic>Complexity</topic><topic>Computational efficiency</topic><topic>Computing costs</topic><topic>Fourier transforms</topic><topic>Imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Methods</topic><topic>Original Article</topic><topic>Radiology</topic><topic>Ultrasonic imaging</topic><topic>Ultrasound</topic><topic>Ultrasound imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shamsian, Seyede Elham</creatorcontrib><creatorcontrib>Sakhaei, Sayed Mahmoud</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of medical ultrasonics (2001)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shamsian, Seyede Elham</au><au>Sakhaei, Sayed Mahmoud</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fast adaptive beamforming through a cascade structure for ultrasound imaging</atitle><jtitle>Journal of medical ultrasonics (2001)</jtitle><stitle>J Med Ultrasonics</stitle><addtitle>J Med Ultrason (2001)</addtitle><date>2019-07-01</date><risdate>2019</risdate><volume>46</volume><issue>3</issue><spage>287</spage><epage>296</epage><pages>287-296</pages><issn>1346-4523</issn><eissn>1613-2254</eissn><abstract>Purpose
A major limiting factor for applying a minimum variance (MV) beamformer in medical ultrasound imaging is its high computational complexity. This paper introduces a new fast MV beamforming method with almost the same capabilities as the standard MV.
Methods
The fast beamformer is implemented using a cascade structure. At the first stage, the echo signals received from the points far from the main axis are strongly suppressed using a fixed-weight beamformer. At the second stage, after spatially decimating the output of the first stage, an MV-based adaptive beamformer is used to eliminate the echo signals from the points adjacent to the focal point. The greatest advantage of the proposed method is that the second beamformer can be a low-complexity implementation of MV such as beamspace (BS) MV to further reduce the complexity, resulting in a superfast MV.
Results
The resulting beamformers were evaluated through both simulation and experimental data, and it was verified that the method was competitive with standard MV and BS methods at a lower computational cost.
Conclusion
The new fast and superfast MV methods are capable of obtaining the same results as the MV and BS-MV, at a significantly lower computational cost.</abstract><cop>Singapore</cop><pub>Springer Singapore</pub><pmid>30796541</pmid><doi>10.1007/s10396-019-00930-w</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-3961-4395</orcidid></addata></record> |
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subjects | Beamforming Complexity Computational efficiency Computing costs Fourier transforms Imaging Medicine Medicine & Public Health Methods Original Article Radiology Ultrasonic imaging Ultrasound Ultrasound imaging |
title | Fast adaptive beamforming through a cascade structure for ultrasound imaging |
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