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Conference Paper: Angle-independent strain mapping in myocardial elastography 2D strain tensor characterization and principal component imaging

TitleAngle-independent strain mapping in myocardial elastography 2D strain tensor characterization and principal component imaging
Authors
KeywordsAngle-Independent
Eigenvalue
Elastography
Finite-Element Analysis
Myocardial
Principal Strain
Issue Date2005
Citation
Proceedings - Ieee Ultrasonics Symposium, 2005, v. 1, p. 516-519 How to Cite?
AbstractA current limitation of the implementation of myocardial elastography in a clinical setting is the difficulty of interpreting the one-dimensional strain maps due to varying strain values in the wall of the left ventricle (LV). In this paper, we demonstrate a robust angle-independent method for 2D myocardial elastography on simulated 2D ultrasonic images of a 3D finite-element analysis (FEA) model of the LV. Two FEA, a control and a regionally ischemic, canine left-ventricular models, were used and model states were obtained in increments and accumulated from end-diastole (ED) to end-systole (ES). Two-dimensional (2D) displacement in the myocardium was estimated between ED to ES. These estimates were good approximations of the FEA solution (rms errors of 0.18 mm for lateral displacement and 0.12 mm for axial displacement). The 2D symmetric strain tensor was calculated from the displacements and angle-independent principal strains were obtained using eigenvalue decomposition of the strain tensor. Principal strains in the myocardium have been shown to approximate normal strains with respect to an anatomical coordinate system [5]. To test this angle-independence, displacements were obtained from two different orthogonally placed transducer locations. Principal strains were estimated from both locations and showed good correlation to the FEA solution. Rms errors between the FEA model and 2D elastography (2DE) estimation of principal strains from both transducer locations were 1.7% and 2.4% strain, respectively. Visualizing the transmural strain using principal strains greatly simplified their interpretation. Moreover, abnormal deformation of the ischemic region, which was difficult to observe with axial and lateral strains, was clearly visible in the principal strain images. In summary, the feasibility of 2D elastography estimation of myocardial displacement and strain was shown. In this paper, we propose the use of principal strains as a more useful tool in the visualization of abnormal wall motion and the detection of ischemia and other related heart diseases. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/167102
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorFungKeeFung, SDen_US
dc.contributor.authorLee, WNen_US
dc.contributor.authorIngrassia, CMen_US
dc.contributor.authorCosta, KDen_US
dc.contributor.authorKonofagou, EEen_US
dc.date.accessioned2012-09-28T04:04:10Z-
dc.date.available2012-09-28T04:04:10Z-
dc.date.issued2005en_US
dc.identifier.citationProceedings - Ieee Ultrasonics Symposium, 2005, v. 1, p. 516-519en_US
dc.identifier.issn1051-0117en_US
dc.identifier.urihttp://hdl.handle.net/10722/167102-
dc.description.abstractA current limitation of the implementation of myocardial elastography in a clinical setting is the difficulty of interpreting the one-dimensional strain maps due to varying strain values in the wall of the left ventricle (LV). In this paper, we demonstrate a robust angle-independent method for 2D myocardial elastography on simulated 2D ultrasonic images of a 3D finite-element analysis (FEA) model of the LV. Two FEA, a control and a regionally ischemic, canine left-ventricular models, were used and model states were obtained in increments and accumulated from end-diastole (ED) to end-systole (ES). Two-dimensional (2D) displacement in the myocardium was estimated between ED to ES. These estimates were good approximations of the FEA solution (rms errors of 0.18 mm for lateral displacement and 0.12 mm for axial displacement). The 2D symmetric strain tensor was calculated from the displacements and angle-independent principal strains were obtained using eigenvalue decomposition of the strain tensor. Principal strains in the myocardium have been shown to approximate normal strains with respect to an anatomical coordinate system [5]. To test this angle-independence, displacements were obtained from two different orthogonally placed transducer locations. Principal strains were estimated from both locations and showed good correlation to the FEA solution. Rms errors between the FEA model and 2D elastography (2DE) estimation of principal strains from both transducer locations were 1.7% and 2.4% strain, respectively. Visualizing the transmural strain using principal strains greatly simplified their interpretation. Moreover, abnormal deformation of the ischemic region, which was difficult to observe with axial and lateral strains, was clearly visible in the principal strain images. In summary, the feasibility of 2D elastography estimation of myocardial displacement and strain was shown. In this paper, we propose the use of principal strains as a more useful tool in the visualization of abnormal wall motion and the detection of ischemia and other related heart diseases. © 2005 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofProceedings - IEEE Ultrasonics Symposiumen_US
dc.subjectAngle-Independenten_US
dc.subjectEigenvalueen_US
dc.subjectElastographyen_US
dc.subjectFinite-Element Analysisen_US
dc.subjectMyocardialen_US
dc.subjectPrincipal Strainen_US
dc.titleAngle-independent strain mapping in myocardial elastography 2D strain tensor characterization and principal component imagingen_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.doi10.1109/ULTSYM.2005.1602904en_US
dc.identifier.scopuseid_2-s2.0-33847102294en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33847102294&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume1en_US
dc.identifier.spage516en_US
dc.identifier.epage519en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridFungKeeFung, SD=14919178600en_US
dc.identifier.scopusauthoridLee, WN=22634980600en_US
dc.identifier.scopusauthoridIngrassia, CM=8616893200en_US
dc.identifier.scopusauthoridCosta, KD=26638724700en_US
dc.identifier.scopusauthoridKonofagou, EE=7005877325en_US

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