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Conference Paper: Adaptive clutter filter design for micro-ultrasound color flow imaging of small blood vessels

TitleAdaptive clutter filter design for micro-ultrasound color flow imaging of small blood vessels
Authors
Keywordsclutter filter
color flow imaging
flowdetection
micro-ultrasound
microcirculation
Issue Date2010
PublisherIEEE.
Citation
The 2010 IEEE International Ultrasonics Symposium, San Diego, CA.,, 11-14 October 2010. In Proceedings of IEEE IUS, 2010, p. 1206-1209 How to Cite?
AbstractIn micro-ultrasound, which uses imaging frequencies above 20 MHz, obtainingcolor flow images (CFI) of small blood vessels using is not a trivial taskbecause it is more challenging to suppress tissue clutter properly given thestronger blood signal power at high imaging frequencies and the slow bloodvelocity inside the microcirculation. To improve clutter suppression inmicro-ultrasound CFI, this paper presents an adaptive clutter filtering approachthat is based on a two-stage eigen-analysis of slow-time ensemblecharacteristics. The approach first identifies tissue pixels in the imaging viewby examining whether high-frequency contents are absent in the principalslow-time eigen-components for each pixel as computed from single-ensembleeigen-decomposition. It then computes the filtered slow-time ensemble for eachpixel by finding the least-squares projection residual between the pixel'sslow-time ensemble and the clutter eigen-components estimated from amulti-ensemble eigen-decomposition of tissue slow-time ensembles within aspatial window. In this filtering approach, the clutter eigen-components arechosen based on whether their mean frequency lies within a spectral band. Toanalyze the efficacy of the proposed adaptive filter, both in-vitro experimentsand Field II simulations were carried out. For the experiments, raw CFI datawere acquired using a 64-element, 33 MHz linear array prototype (pulse duration:2 cycles, PRF: 1 kHz, transmit focus: 8mm, F-number: 5). Their imaging viewcorresponded to the cross-section of a 0.9mm-diameter tube that was placed ontop of an unsuspended table where ambient vibrations may appear; flow velocity(5, 7, 10, 15 mm/s) within the tube was controlled using a syringe pump. For thesimulations, raw CFI data was computed for both plug and parabolic flowprofiles, and tissue motion was modeled as 0.5 mm/s sinusoidal vibrations. Forall flow velocities tested in our in-vitro study, the proposed adaptive filterimproved the flow detection sensitivity as compared to existing ones. In theslow-flow case (5 mm/s), we observed over 70% increase in flow detectionsensitivity (assuming a 5% false alarm rate). This effectively reduced flashingartifacts in the resulting CFIs and gave a more consistent visualization of theflow tube. © 2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/129738
ISBN
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorCheung, DKHen_HK
dc.contributor.authorChiu, HCTen_HK
dc.contributor.authorZhang, Len_HK
dc.contributor.authorHu, Cen_HK
dc.contributor.authorShung, KKen_HK
dc.contributor.authorYu, ACHen_HK
dc.date.accessioned2010-12-23T08:41:24Z-
dc.date.available2010-12-23T08:41:24Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 2010 IEEE International Ultrasonics Symposium, San Diego, CA.,, 11-14 October 2010. In Proceedings of IEEE IUS, 2010, p. 1206-1209en_HK
dc.identifier.isbn978-1-4577-0380-5-
dc.identifier.issn1051-0117en_HK
dc.identifier.urihttp://hdl.handle.net/10722/129738-
dc.description.abstractIn micro-ultrasound, which uses imaging frequencies above 20 MHz, obtainingcolor flow images (CFI) of small blood vessels using is not a trivial taskbecause it is more challenging to suppress tissue clutter properly given thestronger blood signal power at high imaging frequencies and the slow bloodvelocity inside the microcirculation. To improve clutter suppression inmicro-ultrasound CFI, this paper presents an adaptive clutter filtering approachthat is based on a two-stage eigen-analysis of slow-time ensemblecharacteristics. The approach first identifies tissue pixels in the imaging viewby examining whether high-frequency contents are absent in the principalslow-time eigen-components for each pixel as computed from single-ensembleeigen-decomposition. It then computes the filtered slow-time ensemble for eachpixel by finding the least-squares projection residual between the pixel'sslow-time ensemble and the clutter eigen-components estimated from amulti-ensemble eigen-decomposition of tissue slow-time ensembles within aspatial window. In this filtering approach, the clutter eigen-components arechosen based on whether their mean frequency lies within a spectral band. Toanalyze the efficacy of the proposed adaptive filter, both in-vitro experimentsand Field II simulations were carried out. For the experiments, raw CFI datawere acquired using a 64-element, 33 MHz linear array prototype (pulse duration:2 cycles, PRF: 1 kHz, transmit focus: 8mm, F-number: 5). Their imaging viewcorresponded to the cross-section of a 0.9mm-diameter tube that was placed ontop of an unsuspended table where ambient vibrations may appear; flow velocity(5, 7, 10, 15 mm/s) within the tube was controlled using a syringe pump. For thesimulations, raw CFI data was computed for both plug and parabolic flowprofiles, and tissue motion was modeled as 0.5 mm/s sinusoidal vibrations. Forall flow velocities tested in our in-vitro study, the proposed adaptive filterimproved the flow detection sensitivity as compared to existing ones. In theslow-flow case (5 mm/s), we observed over 70% increase in flow detectionsensitivity (assuming a 5% false alarm rate). This effectively reduced flashingartifacts in the resulting CFIs and gave a more consistent visualization of theflow tube. © 2010 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE.-
dc.relation.ispartofProceedings of the IEEE International Ultrasonics Symposium, IEEE IUS 2010en_HK
dc.rightsProceedings of the 2010 IEEE International Ultrasonics Symposium. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
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.subjectclutter filteren_HK
dc.subjectcolor flow imagingen_HK
dc.subjectflowdetectionen_HK
dc.subjectmicro-ultrasounden_HK
dc.subjectmicrocirculationen_HK
dc.titleAdaptive clutter filter design for micro-ultrasound color flow imaging of small blood vesselsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-1-4577-0380-5&volume=&spage=1206&epage=1209&date=2010&atitle=Adaptive+clutter+filter+design+for+micro-ultrasound+color+flow+imaging+of+small+blood+vessels-
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/ULTSYM.2010.5935686en_HK
dc.identifier.scopuseid_2-s2.0-80054068829en_HK
dc.identifier.hkuros176827en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80054068829&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1206en_HK
dc.identifier.epage1209en_HK
dc.publisher.placeUnited Statesen_HK
dc.description.otherThe 2010 IEEE International Ultrasonics Symposium, San Diego, CA.,, 11-14 October 2010. In Proceedings of IEEE IUS, 2010, p. 1206-1209-
dc.identifier.scopusauthoridCheung, DKH=36116514100en_HK
dc.identifier.scopusauthoridChiu, HCT=36116418800en_HK
dc.identifier.scopusauthoridZhang, L=24480035300en_HK
dc.identifier.scopusauthoridHu, C=7404570174en_HK
dc.identifier.scopusauthoridShung, KK=7102541626en_HK
dc.identifier.scopusauthoridYu, ACH=8699317700en_HK

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