File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: An efficient speckle tracking algorithm for ultrasonic imaging

TitleAn efficient speckle tracking algorithm for ultrasonic imaging
Authors
Issue Date2002
Citation
Ultrasonic Imaging, 2002, v. 24 n. 4, p. 215-228 How to Cite?
AbstractAn efficient speckle tracking algorithm is proposed for motion estimation in ultrasonic imaging. Speckle tracking involves a matching process and a searching process. The matching process of the proposed algorithm is based on a Block Sum Pyramid algorithm that significantly reduces the computational complexity while maintaining the same accuracy as the conventional sum of absolute difference approach. The searching process, on the other hand, is based on a multilevel search strategy rather than the full-search strategy used by most conventional tracking methods. Both simulated speckle images and clinical breast images were used to test the performance of the proposed algorithm. The results show that the computation efficiency is improved by up to a factor of five over the conventional approach. The improved efficiency enables real-time or near-real-time implementation of motion estimation in ultrasonic imaging, which is particularly beneficial in areas such as blood flow estimation, elasticity imaging, speckle image registration, and strain compounding.
Persistent Identifierhttp://hdl.handle.net/10722/167052
ISSN
2015 Impact Factor: 2.111
2015 SCImago Journal Rankings: 0.610
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLi, PCen_US
dc.contributor.authorLee, WNen_US
dc.date.accessioned2012-09-28T04:02:22Z-
dc.date.available2012-09-28T04:02:22Z-
dc.date.issued2002en_US
dc.identifier.citationUltrasonic Imaging, 2002, v. 24 n. 4, p. 215-228en_US
dc.identifier.issn0161-7346en_US
dc.identifier.urihttp://hdl.handle.net/10722/167052-
dc.description.abstractAn efficient speckle tracking algorithm is proposed for motion estimation in ultrasonic imaging. Speckle tracking involves a matching process and a searching process. The matching process of the proposed algorithm is based on a Block Sum Pyramid algorithm that significantly reduces the computational complexity while maintaining the same accuracy as the conventional sum of absolute difference approach. The searching process, on the other hand, is based on a multilevel search strategy rather than the full-search strategy used by most conventional tracking methods. Both simulated speckle images and clinical breast images were used to test the performance of the proposed algorithm. The results show that the computation efficiency is improved by up to a factor of five over the conventional approach. The improved efficiency enables real-time or near-real-time implementation of motion estimation in ultrasonic imaging, which is particularly beneficial in areas such as blood flow estimation, elasticity imaging, speckle image registration, and strain compounding.en_US
dc.languageengen_US
dc.relation.ispartofUltrasonic Imagingen_US
dc.subject.meshAlgorithmsen_US
dc.subject.meshBlood Flow Velocityen_US
dc.subject.meshComputer Simulationen_US
dc.subject.meshFemaleen_US
dc.subject.meshHumansen_US
dc.subject.meshImage Processing, Computer-Assisteden_US
dc.subject.meshUltrasonography, Mammary - Methodsen_US
dc.titleAn efficient speckle tracking algorithm for ultrasonic imagingen_US
dc.typeArticleen_US
dc.identifier.emailLee, WN: wnlee@hku.hken_US
dc.identifier.authorityLee, WN=rp01663en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1177/016173460202400402-
dc.identifier.pmid12665238-
dc.identifier.scopuseid_2-s2.0-0036820781en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036820781&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume24en_US
dc.identifier.issue4en_US
dc.identifier.spage215en_US
dc.identifier.epage228en_US
dc.identifier.isiWOS:000181629800002-
dc.identifier.scopusauthoridLi, PC=34875149900en_US
dc.identifier.scopusauthoridLee, WN=22634980600en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats