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Conference Paper: Real-time GPU-based adaptive beamformer for high quality ultrasound imaging

TitleReal-time GPU-based adaptive beamformer for high quality ultrasound imaging
Authors
KeywordsAdaptive beamforming
Graphics processing units
Parallel processing
Real-time realization
Issue Date2011
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000770
Citation
The 2011 IEEE International Ultrasonics Symposium (IUS), Orlando, FL., 18-21 October 2011. In IEEE International Ultrasonics Symposium Proceedings, 2011, p. 474-477 How to Cite?
AbstractA real-time adaptive minimum variance (MV) beam-former realized using graphics processing units (GPUs) is presented. MV adaptive beamforming technique is attractive as it is capable of producing high quality images with narrow mainlobe width and low sidelobe level. However, because of its substantially higher computational requirements, realizing MV in real-time has been prohibitively difficult. Recent advancements in commodity GPUs have made very high performance computing possible at very affordable price. Using a commercial off-the-shelf GPU, an MV beam-former achieving real-time performance has been realized. Tradeoffs between computational throughput and image quality have been studied. Careful selection of algorithm parameters, including receive aperture and sub-aperture size, was demonstrated to be imperative for achieving real-time performance without sacrificing image qualities.
DescriptionPoster Session Session P1Aa. Beam Formation: Computational Aspects And Artifact Reduction: no. P1Ac-7
Persistent Identifierhttp://hdl.handle.net/10722/140228
ISBN
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Jen_US
dc.contributor.authorYiu, BYSen_US
dc.contributor.authorSo, HKHen_US
dc.contributor.authorYu, ACHen_US
dc.date.accessioned2011-09-23T06:09:08Z-
dc.date.available2011-09-23T06:09:08Z-
dc.date.issued2011en_US
dc.identifier.citationThe 2011 IEEE International Ultrasonics Symposium (IUS), Orlando, FL., 18-21 October 2011. In IEEE International Ultrasonics Symposium Proceedings, 2011, p. 474-477en_US
dc.identifier.isbn978-1-4577-1252-4-
dc.identifier.issn1051-0117-
dc.identifier.urihttp://hdl.handle.net/10722/140228-
dc.descriptionPoster Session Session P1Aa. Beam Formation: Computational Aspects And Artifact Reduction: no. P1Ac-7-
dc.description.abstractA real-time adaptive minimum variance (MV) beam-former realized using graphics processing units (GPUs) is presented. MV adaptive beamforming technique is attractive as it is capable of producing high quality images with narrow mainlobe width and low sidelobe level. However, because of its substantially higher computational requirements, realizing MV in real-time has been prohibitively difficult. Recent advancements in commodity GPUs have made very high performance computing possible at very affordable price. Using a commercial off-the-shelf GPU, an MV beam-former achieving real-time performance has been realized. Tradeoffs between computational throughput and image quality have been studied. Careful selection of algorithm parameters, including receive aperture and sub-aperture size, was demonstrated to be imperative for achieving real-time performance without sacrificing image qualities.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000770-
dc.relation.ispartofIEEE International Ultrasonics Symposium Proceedingsen_US
dc.rightsIEEE International Ultrasonics Symposium Proceedings. Copyright © IEEE.-
dc.rights©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAdaptive beamforming-
dc.subjectGraphics processing units-
dc.subjectParallel processing-
dc.subjectReal-time realization-
dc.titleReal-time GPU-based adaptive beamformer for high quality ultrasound imagingen_US
dc.typeConference_Paperen_US
dc.identifier.emailChen, J: h0795549@hku.hken_US
dc.identifier.emailYiu, BYS: bysyiu@hku.hken_US
dc.identifier.emailSo, HKH: hso@eee.hku.hken_US
dc.identifier.emailYu, ACH: alfred.yu@hku.hk-
dc.identifier.authoritySo, HKH=rp00169en_US
dc.identifier.authorityYu, ACH=rp00657en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ULTSYM.2011.0114-
dc.identifier.scopuseid_2-s2.0-84869053201-
dc.identifier.hkuros193614en_US
dc.identifier.spageIEEE International Ultrasonics Symposium Proceedings-
dc.identifier.epage477-
dc.identifier.isiWOS:000309918400112-
dc.publisher.placeUnited States-
dc.description.otherThe 2011 IEEE International Ultrasonics Symposium (IUS), Orlando, FL., 18-21 October 2011. In IEEE International Ultrasonics Symposium Proceedings, 2011, p. 474-477-

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