File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Eigen-based clutter filter design for ultrasound color flow imaging: A review

TitleEigen-based clutter filter design for ultrasound color flow imaging: A review
Authors
Issue Date2010
PublisherIEEE.
Citation
Ieee Transactions On Ultrasonics, Ferroelectrics, And Frequency Control, 2010, v. 57 n. 5, p. 1096-1111 How to Cite?
AbstractProper suppression of tissue clutter is a prerequisite for visualizing flow accurately in ultrasound color flow imaging. Among various clutter suppression methods, the eigen- based filter has shown potential because it can theoretically adapt its stopband to the actual clutter characteristics even when tissue motion is present. This paper presents a formative review on how eigen-based filters should be designed to improve their practical efficacy in adaptively suppressing clutter without affecting the blood flow echoes. Our review is centered around a comparative assessment of two eigen-filter design considerations: 1) eigen-component estimation approach (single-ensemble vs. multi-ensemble formulations), and 2) filter order selection mechanism (eigenvalue-based vs. frequencybased algorithms). To evaluate the practical efficacy of existing eigen-filter designs, we analyzed their clutter suppression level in two in vivo scenarios with substantial tissue motion (intra-operative coronary imaging and thyroid imaging). Our analysis shows that, as compared with polynomial regression filters (with or without instantaneous clutter downmixing), eigen-filters that use a frequency-based algorithm for filter order selection generally give Doppler power images with better contrast between blood and tissue regions. Results also suggest that both multi-ensemble and single-ensemble eigen-estimation approaches have their own advantages and weaknesses in different imaging scenarios. It may be beneficial to develop an algorithmic way of defining the eigen-filter formulation so that its performance advantages can be better realized. © 2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/129218
ISSN
2015 Impact Factor: 2.287
2015 SCImago Journal Rankings: 0.910
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYu, ACHen_HK
dc.contributor.authorLovstakken, Len_HK
dc.date.accessioned2010-12-23T08:33:41Z-
dc.date.available2010-12-23T08:33:41Z-
dc.date.issued2010en_HK
dc.identifier.citationIeee Transactions On Ultrasonics, Ferroelectrics, And Frequency Control, 2010, v. 57 n. 5, p. 1096-1111en_HK
dc.identifier.issn0885-3010en_HK
dc.identifier.urihttp://hdl.handle.net/10722/129218-
dc.description.abstractProper suppression of tissue clutter is a prerequisite for visualizing flow accurately in ultrasound color flow imaging. Among various clutter suppression methods, the eigen- based filter has shown potential because it can theoretically adapt its stopband to the actual clutter characteristics even when tissue motion is present. This paper presents a formative review on how eigen-based filters should be designed to improve their practical efficacy in adaptively suppressing clutter without affecting the blood flow echoes. Our review is centered around a comparative assessment of two eigen-filter design considerations: 1) eigen-component estimation approach (single-ensemble vs. multi-ensemble formulations), and 2) filter order selection mechanism (eigenvalue-based vs. frequencybased algorithms). To evaluate the practical efficacy of existing eigen-filter designs, we analyzed their clutter suppression level in two in vivo scenarios with substantial tissue motion (intra-operative coronary imaging and thyroid imaging). Our analysis shows that, as compared with polynomial regression filters (with or without instantaneous clutter downmixing), eigen-filters that use a frequency-based algorithm for filter order selection generally give Doppler power images with better contrast between blood and tissue regions. Results also suggest that both multi-ensemble and single-ensemble eigen-estimation approaches have their own advantages and weaknesses in different imaging scenarios. It may be beneficial to develop an algorithmic way of defining the eigen-filter formulation so that its performance advantages can be better realized. © 2010 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE.-
dc.relation.ispartofIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Controlen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. Copyright © IEEE.-
dc.rights©2010 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.subject.meshAlgorithms-
dc.subject.meshCarotid Arteries - ultrasonography-
dc.subject.meshEchocardiography-
dc.subject.meshSignal Processing, Computer-Assisted-
dc.subject.meshUltrasonography, Doppler, Color - methods-
dc.titleEigen-based clutter filter design for ultrasound color flow imaging: A reviewen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0885-3010&volume=57&issue=5&spage=1096&epage=1111&date=2010&atitle=Eigen-based+clutter+filter+design+for+ultrasound+color+flow+imaging:+a+review-
dc.identifier.emailYu, ACH:alfred.yu@hku.hken_HK
dc.identifier.authorityYu, ACH=rp00657en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TUFFC.2010.1521en_HK
dc.identifier.pmid20442020-
dc.identifier.scopuseid_2-s2.0-77951918977en_HK
dc.identifier.hkuros176822en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77951918977&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume57en_HK
dc.identifier.issue5en_HK
dc.identifier.spage1096en_HK
dc.identifier.epage1111en_HK
dc.identifier.isiWOS:000277342100011-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridYu, ACH=8699317700en_HK
dc.identifier.scopusauthoridLovstakken, L=16307353600en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats