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dc.contributor.author
Hager, Pascal Alexander
dc.contributor.author
Vogel, Pirmin
dc.contributor.author
Bartolini, Andrea
dc.contributor.author
Benini, Luca
dc.date.accessioned
2022-06-02T14:49:00Z
dc.date.available
2017-06-11T15:46:11Z
dc.date.available
2022-06-02T14:49:00Z
dc.date.issued
2014
dc.identifier.isbn
978-1-4799-2346-5
en_US
dc.identifier.isbn
978-1-4799-2348-9
en_US
dc.identifier.other
10.1109/BioCAS.2014.6981704
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/97098
dc.description.abstract
High-frame-rate and high-resolution 3D medical ultrasound imaging imposes high requirements on the involved processing hardware. Several thousands of analog signals need to be processed in many steps to obtain a final image. Fully digital beamforming makes it possible to achieve high image quality coupled with extreme flexibility. Unfortunately, digital beamforming imposes staggering requirements on main memory bandwidth caused by the loading of off-chip stored beamforming delays. In this paper we present the first fully-digital integrated beamformer that is able to compute 269.3M focal points (FP) per second from 10 000 receive channels, and which does not require off-chip main memory. This is enabled by our novel delay approximation circuit that exploits temporal correlation between subsequent computations and thereby allows to compute the delays for beamforming online. To estimate the area and power requirements, the complete system was designed and the beamformer core was evaluated for a 130 nm CMOS technology. The estimated complexity per channel is 37.2 kGE and the corresponding power dissipation was estimated with 48 mW.
en_US
dc.language.iso
en
en_US
dc.publisher
Curran
en_US
dc.title
Assessing the Area/Power/Performance Tradeoffs for an Integrated Fully-Digital, Large-Scale 3D-Ultrasound Beamformer
en_US
dc.type
Conference Paper
dc.date.published
2014-12-11
ethz.book.title
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings
en_US
ethz.pages.start
228
en_US
ethz.pages.end
231
en_US
ethz.event
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS 2014)
en_US
ethz.event.location
Lausanne, Switzerland
en_US
ethz.event.date
October 22-24, 2014
en_US
ethz.identifier.wos
ethz.publication.place
Red Hook, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::03996 - Benini, Luca / Benini, Luca
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::03996 - Benini, Luca / Benini, Luca
ethz.date.deposited
2017-06-11T15:46:49Z
ethz.source
ECIT
ethz.identifier.importid
imp593652dc1fa2923518
ethz.ecitpid
pub:151998
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-13T19:01:35Z
ethz.rosetta.lastUpdated
2023-02-07T03:23:28Z
ethz.rosetta.versionExported
true
ethz.COinS
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