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Conference Paper: A Matrix Pencil estimator with adaptive rank selection: Application to In Vivo flow studies

TitleA Matrix Pencil estimator with adaptive rank selection: Application to In Vivo flow studies
Authors
KeywordsAdaptive Rank Selection
Low-Rank Matrix Reduction
Matrix Pencil
Velocity Estimation
Issue Date2006
Citation
Proceedings - Ieee Ultrasonics Symposium, 2006, v. 1, p. 2015-2018 How to Cite?
AbstractRecently, we showed that the rank-two Matrix Pencil method can be used to obtain low-biased flow estimates from in vitro color flow data without clutter filtering. This article addresses how the Matrix Pencil framework can be modified to perform in vivo flow estimation through adaptive selection of the eigen-structure rank. In our modified approach, the nominal rank is defined as the minimum eigen-structure rank that yields principal frequency estimates with a spread greater than a prescribed bandwidth. To examine its performance, the rank-adaptive Matrix Pencil method was applied to in vivo M-mode data and color flow data obtained from the human common carotid artery. It was found that the rank-adaptive Matrix Pencil was able to give a more consistent visualization of the carotid blood flow than the rank-two Matrix Pencil estimator. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158470
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorYu, ACHen_US
dc.contributor.authorCobbold, RSCen_US
dc.date.accessioned2012-08-08T08:59:48Z-
dc.date.available2012-08-08T08:59:48Z-
dc.date.issued2006en_US
dc.identifier.citationProceedings - Ieee Ultrasonics Symposium, 2006, v. 1, p. 2015-2018en_US
dc.identifier.issn1051-0117en_US
dc.identifier.urihttp://hdl.handle.net/10722/158470-
dc.description.abstractRecently, we showed that the rank-two Matrix Pencil method can be used to obtain low-biased flow estimates from in vitro color flow data without clutter filtering. This article addresses how the Matrix Pencil framework can be modified to perform in vivo flow estimation through adaptive selection of the eigen-structure rank. In our modified approach, the nominal rank is defined as the minimum eigen-structure rank that yields principal frequency estimates with a spread greater than a prescribed bandwidth. To examine its performance, the rank-adaptive Matrix Pencil method was applied to in vivo M-mode data and color flow data obtained from the human common carotid artery. It was found that the rank-adaptive Matrix Pencil was able to give a more consistent visualization of the carotid blood flow than the rank-two Matrix Pencil estimator. © 2006 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofProceedings - IEEE Ultrasonics Symposiumen_US
dc.subjectAdaptive Rank Selectionen_US
dc.subjectLow-Rank Matrix Reductionen_US
dc.subjectMatrix Pencilen_US
dc.subjectVelocity Estimationen_US
dc.titleA Matrix Pencil estimator with adaptive rank selection: Application to In Vivo flow studiesen_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.2006.515en_US
dc.identifier.scopuseid_2-s2.0-34547259861en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34547259861&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume1en_US
dc.identifier.spage2015en_US
dc.identifier.epage2018en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridYu, ACH=8699317700en_US
dc.identifier.scopusauthoridCobbold, RSC=7005052711en_US

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