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Article: GPU-based beamformer: Fast realization of plane wave compounding and synthetic aperture imaging

TitleGPU-based beamformer: Fast realization of plane wave compounding and synthetic aperture imaging
Authors
Issue Date2011
PublisherIEEE
Citation
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2011, v. 58 n. 8, p. 1698-1705 How to Cite?
AbstractAlthough they show potential to improve ultrasound image quality, plane wave (PW) compounding and synthetic aperture (SA) imaging are computationally demanding and are known to be challenging to implement in real-time. In this work, we have developed a novel beamformer architecture with the real-time parallel processing capacity needed to enable fast realization of PW compounding and SA imaging. The beamformer hardware comprises an array of graphics processing units (GPUs) that are hosted within the same computer workstation. Their parallel computational resources are controlled by a pixel-based software processor that includes the operations of analytic signal conversion, delay-and-sum beamforming, and recursive compounding as required to generate images from the channel-domain data samples acquired using PW compounding and SA imaging principles. When using two GTX-480 GPUs for beamforming and one GTX-470 GPU for recursive compounding, the beamformer can compute compounded 512 × 255 pixel PW and SA images at throughputs of over 4700 fps and 3000 fps, respectively, for imaging depths of 5 cm and 15 cm (32 receive channels, 40 MHz sampling rate). Its processing capacity can be further increased if additional GPUs or more advanced models of GPU are used. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/139255
ISSN
2015 Impact Factor: 2.287
2015 SCImago Journal Rankings: 0.910
ISI Accession Number ID
Funding AgencyGrant Number
Hong Kong Innovation and Technology FundITS/492/09
InP/210/10
InP/211/10
Funding Information:

Manuscript received May 9, 2011; accepted May 17, 2011. This work was supported in part by the Hong Kong Innovation and Technology Fund (ITS/492/09, InP/210/10, InP/211/10). All three authors have contributed equally to the preparation of this article.

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorYiu, BYSen_HK
dc.contributor.authorTsang, IKHen_HK
dc.contributor.authorYu, ACHen_HK
dc.date.accessioned2011-09-23T05:47:37Z-
dc.date.available2011-09-23T05:47:37Z-
dc.date.issued2011en_HK
dc.identifier.citationIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2011, v. 58 n. 8, p. 1698-1705en_HK
dc.identifier.issn0885-3010en_HK
dc.identifier.urihttp://hdl.handle.net/10722/139255-
dc.description.abstractAlthough they show potential to improve ultrasound image quality, plane wave (PW) compounding and synthetic aperture (SA) imaging are computationally demanding and are known to be challenging to implement in real-time. In this work, we have developed a novel beamformer architecture with the real-time parallel processing capacity needed to enable fast realization of PW compounding and SA imaging. The beamformer hardware comprises an array of graphics processing units (GPUs) that are hosted within the same computer workstation. Their parallel computational resources are controlled by a pixel-based software processor that includes the operations of analytic signal conversion, delay-and-sum beamforming, and recursive compounding as required to generate images from the channel-domain data samples acquired using PW compounding and SA imaging principles. When using two GTX-480 GPUs for beamforming and one GTX-470 GPU for recursive compounding, the beamformer can compute compounded 512 × 255 pixel PW and SA images at throughputs of over 4700 fps and 3000 fps, respectively, for imaging depths of 5 cm and 15 cm (32 receive channels, 40 MHz sampling rate). Its processing capacity can be further increased if additional GPUs or more advanced models of GPU are used. © 2011 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE-
dc.relation.ispartofIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Controlen_HK
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.rightsIEEE Transactions on Signal Processing. Copyright © IEEE-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleGPU-based beamformer: Fast realization of plane wave compounding and synthetic aperture imagingen_HK
dc.typeArticleen_HK
dc.identifier.emailYu, ACH:alfred.yu@hku.hken_HK
dc.identifier.authorityYu, ACH=rp00657en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TUFFC.2011.1999en_HK
dc.identifier.scopuseid_2-s2.0-80052049752en_HK
dc.identifier.hkuros193620en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052049752&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume58en_HK
dc.identifier.issue8en_HK
dc.identifier.spage1698en_HK
dc.identifier.epage1705en_HK
dc.identifier.isiWOS:000294175100022-
dc.publisher.placeUnited Statesen_HK
dc.relation.projectDeveloping a Real-Time and Programmable Ultrasound Imaging Platform for R&D of High-Frame-Rate Imaging Methods-
dc.relation.projectDeveloping a real-time and programmable ultrasound imaging platform for R&D of high-frame-rate imaging methods-
dc.relation.projectDeveloping a Real-Time and Programmable Ultrasound Imaging Platform for R&D of High-Frame-Rate Imaging Methods-
dc.identifier.scopusauthoridYiu, BYS=26657783600en_HK
dc.identifier.scopusauthoridTsang, IKH=26657657600en_HK
dc.identifier.scopusauthoridYu, ACH=8699317700en_HK

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