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Conference Paper: A new eigen-based flow estimator using the Matrix Pencil approach

TitleA new eigen-based flow estimator using the Matrix Pencil approach
Authors
KeywordsColor Flow Imaging
Generalized Eigenvalues
Matrix Pencil
Velocity Estimation
Issue Date2005
Citation
Proceedings - Ieee Ultrasonics Symposium, 2005, v. 2, p. 1335-1338 How to Cite?
AbstractIn color flow imaging, velocity estimation is often performed by first filtering out the clutter and then using a correlation-based estimator to find the mean flow velocity. As an alternative to this approach, a new eigen-based flow estimator called Matrix Pencil is presented in this paper. Matrix Pencil is a principal spectral component estimator that can be directly applied to the Doppler signal without prior clutter filtering, and it works by treating flow estimation as a generalized eigenvalue problem. To assess its performance, Matrix Pencil was used to perform velocity estimation on a set of raw color flow data obtained from a steady flow phantom. Our results showed that the Matrix Pencil estimates were close in location with the principal Fourier coefficients of the Doppler power spectrum. The color flow images obtained using Matrix Pencil also showed a similar flow gradient as that of the theoretical profile. As a comparison, the Matrix Pencil estimates were evaluated against the post-filter estimates obtained from an autocorrelator. It was found that the two approaches gave velocity estimates that were comparable to each other. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158453
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorYu, ACHen_US
dc.contributor.authorMo, LYLen_US
dc.contributor.authorWarriner, RKen_US
dc.contributor.authorCobbold, RSCen_US
dc.date.accessioned2012-08-08T08:59:42Z-
dc.date.available2012-08-08T08:59:42Z-
dc.date.issued2005en_US
dc.identifier.citationProceedings - Ieee Ultrasonics Symposium, 2005, v. 2, p. 1335-1338en_US
dc.identifier.issn1051-0117en_US
dc.identifier.urihttp://hdl.handle.net/10722/158453-
dc.description.abstractIn color flow imaging, velocity estimation is often performed by first filtering out the clutter and then using a correlation-based estimator to find the mean flow velocity. As an alternative to this approach, a new eigen-based flow estimator called Matrix Pencil is presented in this paper. Matrix Pencil is a principal spectral component estimator that can be directly applied to the Doppler signal without prior clutter filtering, and it works by treating flow estimation as a generalized eigenvalue problem. To assess its performance, Matrix Pencil was used to perform velocity estimation on a set of raw color flow data obtained from a steady flow phantom. Our results showed that the Matrix Pencil estimates were close in location with the principal Fourier coefficients of the Doppler power spectrum. The color flow images obtained using Matrix Pencil also showed a similar flow gradient as that of the theoretical profile. As a comparison, the Matrix Pencil estimates were evaluated against the post-filter estimates obtained from an autocorrelator. It was found that the two approaches gave velocity estimates that were comparable to each other. © 2005 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofProceedings - IEEE Ultrasonics Symposiumen_US
dc.subjectColor Flow Imagingen_US
dc.subjectGeneralized Eigenvaluesen_US
dc.subjectMatrix Pencilen_US
dc.subjectVelocity Estimationen_US
dc.titleA new eigen-based flow estimator using the Matrix Pencil approachen_US
dc.typeConference_Paperen_US
dc.identifier.emailYu, ACH:alfred.yu@hku.hken_US
dc.identifier.authorityYu, ACH=rp00657en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/ULTSYM.2005.1603100en_US
dc.identifier.scopuseid_2-s2.0-33847105032en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33847105032&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume2en_US
dc.identifier.spage1335en_US
dc.identifier.epage1338en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridYu, ACH=8699317700en_US
dc.identifier.scopusauthoridMo, LYL=7103299846en_US
dc.identifier.scopusauthoridWarriner, RK=15924408700en_US
dc.identifier.scopusauthoridCobbold, RSC=7005052711en_US

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