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Conference Paper: Portable parallel kernels for high-speed beamforming in synthetic aperture ultrasound imaging

TitlePortable parallel kernels for high-speed beamforming in synthetic aperture ultrasound imaging
Authors
KeywordsSynthetic aperture
Ultrasound medical imaging
Beamformer
OpenCL
GPU
Issue Date2013
PublisherIEEE.
Citation
The 38th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, BC., 26-31 May 2013. In IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, 2013, p. 2688-2692 How to Cite?
AbstractIn medical ultrasound, synthetic aperture (SA) imaging is well-considered as a novel image formation technique for achieving superior resolution than that offered by existing scanners. However, its intensive processing load is known to be a challenging factor. To address such a computational demand, this paper proposes a new parallel approach based on the design of OpenCL signal processing kernels that can compute SA image formation in real-time. We demonstrate how these kernels can be ported onto different classes of parallel processors, namely multi-core CPUs and GPUs, whose multi-thread computing resources are able to process more than 250 fps. Moreover, they have strong potential to support the development of more complex algorithms, thus increasing the depth range of the inspected human volume and the final image resolution observed by the medical practitioner.
Persistent Identifierhttp://hdl.handle.net/10722/189831
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorAmaro, Jen_US
dc.contributor.authorFalcao, Gen_US
dc.contributor.authorYiu, BYSen_US
dc.contributor.authorYu, ACHen_US
dc.date.accessioned2013-09-17T15:00:46Z-
dc.date.available2013-09-17T15:00:46Z-
dc.date.issued2013en_US
dc.identifier.citationThe 38th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, BC., 26-31 May 2013. In IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, 2013, p. 2688-2692en_US
dc.identifier.isbn978-1-4799-0356-6-
dc.identifier.issn1520-6149-
dc.identifier.urihttp://hdl.handle.net/10722/189831-
dc.description.abstractIn medical ultrasound, synthetic aperture (SA) imaging is well-considered as a novel image formation technique for achieving superior resolution than that offered by existing scanners. However, its intensive processing load is known to be a challenging factor. To address such a computational demand, this paper proposes a new parallel approach based on the design of OpenCL signal processing kernels that can compute SA image formation in real-time. We demonstrate how these kernels can be ported onto different classes of parallel processors, namely multi-core CPUs and GPUs, whose multi-thread computing resources are able to process more than 250 fps. Moreover, they have strong potential to support the development of more complex algorithms, thus increasing the depth range of the inspected human volume and the final image resolution observed by the medical practitioner.-
dc.languageengen_US
dc.publisherIEEE.-
dc.relation.ispartofIEEE International Conference on Acoustics, Speech and Signal Processing Proceedingsen_US
dc.rightsIEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings. Copyright © IEEE.-
dc.rights©2013 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.subjectSynthetic aperture-
dc.subjectUltrasound medical imaging-
dc.subjectBeamformer-
dc.subjectOpenCL-
dc.subjectGPU-
dc.titlePortable parallel kernels for high-speed beamforming in synthetic aperture ultrasound imagingen_US
dc.typeConference_Paperen_US
dc.identifier.emailYiu, BYS: bysyiu@hku.hken_US
dc.identifier.emailYu, ACH: alfred.yu@hku.hken_US
dc.identifier.authorityYu, ACH=rp00657en_US
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros222136en_US
dc.identifier.spage2688en_US
dc.identifier.epage2692en_US
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 131029-

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