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dc.contributor.authorJiang, Yi
dc.contributor.authorLi, Guoyang
dc.contributor.authorQian, Lin-Xue
dc.contributor.authorLiang, Si
dc.contributor.authorDestrade, Michel
dc.contributor.authorCao, Yanping
dc.date.accessioned2016-03-02T12:25:26Z
dc.date.available2016-03-02T12:25:26Z
dc.date.issued2015-02-20
dc.identifier.citationJiang, Y,Li, GY,Qian, LX,Liang, S,Destrade, M,Cao, YP (2015) 'Measuring the linear and nonlinear elastic properties of brain tissue with shear waves and inverse analysis'. Biomechanics And Modeling In Mechanobiology, 14 :1119-1128.en_IE
dc.identifier.issn1617-7940
dc.identifier.urihttp://hdl.handle.net/10379/5585
dc.description.abstractWe use supersonic shear wave imaging (SSI) technique to measure not only the linear but also the nonlinear elastic properties of brain matter. Here, we tested six porcine brains ex vivo and measured the velocities of the plane shear waves induced by acoustic radiation force at different states of pre-deformation when the ultrasonic probe is pushed into the soft tissue. We relied on an inverse method based on the theory governing the propagation of small-amplitude acoustic waves in deformed solids to interpret the experimental data. We found that, depending on the subjects, the resulting initial shear modulus varies from 1.8 to 3.2 kPa, the stiffening parameter of the hyperelastic Demiray-Fung model from 0.13 to 0.73, and the third- and fourth-order constants of weakly nonlinear elasticity from 1.3 to 20.6 kPa and from 3.1 to 8.7 kPa, respectively. Paired test performed on the experimental results of the left and right lobes of the brain shows no significant difference. These values are in line with those reported in the literature on brain tissue, indicating that the SSI method, combined to the inverse analysis, is an efficient and powerful tool for the mechanical characterization of brain tissue, which is of great importance for computer simulation of traumatic brain injury and virtual neurosurgery.en_IE
dc.description.sponsorshipNational Natural Science Foundation of China (Grant No. 11172155), Tsinghua University (2012Z02103) and 973 Program of MOST (2010CB631005)en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherSpringeren_IE
dc.relation.ispartofBiomechanics And Modeling In Mechanobiologyen
dc.subjectSupersonic shear wave imaging techniqueen_IE
dc.subjectInverse methoden_IE
dc.subjectBrain tissueen_IE
dc.subjectElastic and hyperelastic propertiesen_IE
dc.subjectMagnetic resonance elastographyen_IE
dc.subjectAcoustic radiation forceen_IE
dc.subjectIn vivoen_IE
dc.subjectMechanical propertiesen_IE
dc.subject4th order constantsen_IE
dc.subjectSoft tissuesen_IE
dc.subjectEx vivoen_IE
dc.subjectDeformationen_IE
dc.subjectViscoelasticityen_IE
dc.subjectMathematicsen_IE
dc.titleMeasuring the linear and nonlinear elastic properties of brain tissue with shear waves and inverse analysisen_IE
dc.typeArticleen_IE
dc.date.updated2015-10-09T08:09:21Z
dc.identifier.doi10.1007/s10237-015-0658-0
dc.local.publishedsourcehttp://link.springer.com/article/10.1007%2Fs10237-015-0658-0en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|
dc.internal.rssid9874493
dc.local.contactMichel Destrade, Room Adb-1002, Áras De Brun, School Of Mathematics, Nui Galway. 2344 Email: michel.destrade@nuigalway.ie
dc.local.copyrightcheckedNo
dc.local.versionPUBLISHED
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