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Conference Paper: Ultrasound myocardial elastography and registered 3D tagged MRI: Quantitative strain comparison

TitleUltrasound myocardial elastography and registered 3D tagged MRI: Quantitative strain comparison
Authors
Issue Date2007
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2007, v. 4791 LNCS PART 1, p. 800-808 How to Cite?
AbstractUltrasound Myocardial Elastography (UME) and Tagged Magnetic Resonance Imaging (tMRI) are two imaging modalities that were developed in the recent years to quantitatively estimate the myocardial deformations. Tagged MRI is currently considered as the gold standard for myocardial strain mapping in vivo. However, despite the low SNR nature of ultrasound signals, echocardiography enjoys the widespread availability in the clinic, as well as its low cost and high temporal resolution. Comparing the strain estimation performances of the two techniques has been of great interests to the community. In order to assess the cardiac deformation across different imaging modalities, in this paper, we developed a semi-automatic intensity and gradient based registration framework that rigidly registers the 3D tagged MRIs with the 2D ultrasound images. Based on the two registered modalities, we conducted spatially and temporally more detailed quantitative strain comparison of the RF-based UME technique and tagged MRI. From the experimental results, we conclude that qualitatively the two modalities share similar overall trends. But error and variations in UME accumulate over time. Quantitatively tMRI is more robust and accurate than UME. © Springer-Verlag Berlin Heidelberg 2007.
Persistent Identifierhttp://hdl.handle.net/10722/167105
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorQian, Zen_US
dc.contributor.authorLee, WNen_US
dc.contributor.authorKonofagou, EEen_US
dc.contributor.authorMetaxas, DNen_US
dc.contributor.authorAxel, Len_US
dc.date.accessioned2012-09-28T04:04:12Z-
dc.date.available2012-09-28T04:04:12Z-
dc.date.issued2007en_US
dc.identifier.citationLecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2007, v. 4791 LNCS PART 1, p. 800-808en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10722/167105-
dc.description.abstractUltrasound Myocardial Elastography (UME) and Tagged Magnetic Resonance Imaging (tMRI) are two imaging modalities that were developed in the recent years to quantitatively estimate the myocardial deformations. Tagged MRI is currently considered as the gold standard for myocardial strain mapping in vivo. However, despite the low SNR nature of ultrasound signals, echocardiography enjoys the widespread availability in the clinic, as well as its low cost and high temporal resolution. Comparing the strain estimation performances of the two techniques has been of great interests to the community. In order to assess the cardiac deformation across different imaging modalities, in this paper, we developed a semi-automatic intensity and gradient based registration framework that rigidly registers the 3D tagged MRIs with the 2D ultrasound images. Based on the two registered modalities, we conducted spatially and temporally more detailed quantitative strain comparison of the RF-based UME technique and tagged MRI. From the experimental results, we conclude that qualitatively the two modalities share similar overall trends. But error and variations in UME accumulate over time. Quantitatively tMRI is more robust and accurate than UME. © Springer-Verlag Berlin Heidelberg 2007.en_US
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.titleUltrasound myocardial elastography and registered 3D tagged MRI: Quantitative strain comparisonen_US
dc.typeConference_Paperen_US
dc.identifier.emailLee, WN: wnlee@hku.hken_US
dc.identifier.authorityLee, WN=rp01663en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-38149142402en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-38149142402&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume4791 LNCSen_US
dc.identifier.issuePART 1en_US
dc.identifier.spage800en_US
dc.identifier.epage808en_US
dc.publisher.placeGermanyen_US
dc.identifier.scopusauthoridQian, Z=7201384454en_US
dc.identifier.scopusauthoridLee, WN=22634980600en_US
dc.identifier.scopusauthoridKonofagou, EE=7005877325en_US
dc.identifier.scopusauthoridMetaxas, DN=7006359060en_US
dc.identifier.scopusauthoridAxel, L=7005506139en_US

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