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Conference Paper: A least-squares vector flow estimator for synthetic aperture imaging

TitleA least-squares vector flow estimator for synthetic aperture imaging
Authors
KeywordsAperture-domain data
Least-squares estimation
Synthetic aperture
Vector flow imaging
Issue Date2009
Citation
Proceedings - Ieee Ultrasonics Symposium, 2009 How to Cite?
AbstractThis paper presents a least-squares (LS) vector flow estimator that is intended to calculate axial and lateral velocities using aperture-domain Doppler data from multiple transmit point sources and multiple receive apertures realized via the synthetic aperture (SA) technique. Our new estimator comprises two main stages. First, for each transmit point and receive aperture, we obtain aperture-domain Doppler ensembles and use them to compute a frequency estimate (via the lag-one autocorrelator) for every spatial point in imaging view. Subsequently, by noting that each transmit point and receive aperture deviates in flow angle, we estimate flow vectors through creating a set of Doppler equations with two unknowns (i.e. axial and lateral velocities) from the frequency estimates and solving this equation set as an over-determined LS problem. To evaluate the performance of new estimator, Field II simulations were performed for a scenario with a 5mm-diameter steady flow tube (tube angle: 0°-90°, center velocity: 0-25cm/s). For these simulations, a 5.5MHz linear array with 128 elements was used; pre-beamform data was acquired for 97 virtual point sources (0.3mm spacing, 32 elements), and 12 two-cycle pulses were fired through each point source (PRF: 5kHz). Our LS estimator was then applied to a few different transmit-receive SA imaging configurations (e.g. 97 transmit points and 3 receive apertures). Results show that, if a multi-transmit configuration is used, the LS estimator is more capable of providing vector flow maps that roughly resemble the theoretical profile. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/99815
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorTsang, IKHen_HK
dc.contributor.authorYiu, BYSen_HK
dc.contributor.authorYu, ACHen_HK
dc.date.accessioned2010-09-25T18:45:16Z-
dc.date.available2010-09-25T18:45:16Z-
dc.date.issued2009en_HK
dc.identifier.citationProceedings - Ieee Ultrasonics Symposium, 2009en_HK
dc.identifier.issn1051-0117en_HK
dc.identifier.urihttp://hdl.handle.net/10722/99815-
dc.description.abstractThis paper presents a least-squares (LS) vector flow estimator that is intended to calculate axial and lateral velocities using aperture-domain Doppler data from multiple transmit point sources and multiple receive apertures realized via the synthetic aperture (SA) technique. Our new estimator comprises two main stages. First, for each transmit point and receive aperture, we obtain aperture-domain Doppler ensembles and use them to compute a frequency estimate (via the lag-one autocorrelator) for every spatial point in imaging view. Subsequently, by noting that each transmit point and receive aperture deviates in flow angle, we estimate flow vectors through creating a set of Doppler equations with two unknowns (i.e. axial and lateral velocities) from the frequency estimates and solving this equation set as an over-determined LS problem. To evaluate the performance of new estimator, Field II simulations were performed for a scenario with a 5mm-diameter steady flow tube (tube angle: 0°-90°, center velocity: 0-25cm/s). For these simulations, a 5.5MHz linear array with 128 elements was used; pre-beamform data was acquired for 97 virtual point sources (0.3mm spacing, 32 elements), and 12 two-cycle pulses were fired through each point source (PRF: 5kHz). Our LS estimator was then applied to a few different transmit-receive SA imaging configurations (e.g. 97 transmit points and 3 receive apertures). Results show that, if a multi-transmit configuration is used, the LS estimator is more capable of providing vector flow maps that roughly resemble the theoretical profile. ©2009 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofProceedings - IEEE Ultrasonics Symposiumen_HK
dc.subjectAperture-domain dataen_HK
dc.subjectLeast-squares estimationen_HK
dc.subjectSynthetic apertureen_HK
dc.subjectVector flow imagingen_HK
dc.titleA least-squares vector flow estimator for synthetic aperture imagingen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailYu, ACH:alfred.yu@hku.hken_HK
dc.identifier.authorityYu, ACH=rp00657en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ULTSYM.2009.5441624en_HK
dc.identifier.scopuseid_2-s2.0-77952849628en_HK
dc.identifier.hkuros155474en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77952849628&selection=ref&src=s&origin=recordpageen_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridTsang, IKH=26657657600en_HK
dc.identifier.scopusauthoridYiu, BYS=26657783600en_HK
dc.identifier.scopusauthoridYu, ACH=8699317700en_HK

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