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dc.contributor.advisorKrystyn J. Van Vliet.en_US
dc.contributor.authorMijailovic, Aleksandar Sen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2017-01-30T19:17:50Z
dc.date.available2017-01-30T19:17:50Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/106778
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 71-75).en_US
dc.description.abstractMeasurement of brain tissue elastic and viscoelastic properties is of interest for modeling traumatic brain injury, understanding and creating new biomarkers for brain diseases, improving neurosurgery procedures and development of tissue surrogate materials for evaluating protective strategies (e.g., helmets). However, accurate measurement of mechanical properties of brain tissue is challenging due to the high compliance and complex mechanical behavior of this tissue, including nonlinear viscoelastic behavior, poroelastic deformation, and failure mechanisms. Thus, reported measurements of the elastic and viscoelastic moduli of brain tissue vary by several orders of magnitude. This thesis highlights three mechanical characterization techniques for brain tissue: rheology, cavitation rheology, and impact indentation. Rheology is used to measure the shear storage and loss moduli of brain tissue in (1) healthy and tuberous sclerosis mouse brain and (2) healthy porcine brain. Next, cavitation rheology - a technique used to measure the elastic modulus of compliant polymers and tissues - is implemented for the first time in porcine brain tissue. Finally, a new analytical model and analysis procedure are developed for impact indentation, a novel mechanical characterization technique that was used to measure the impact response of murine and porcine brain tissue and brain tissue simulant polymers. This new analytical model allows for measurement of viscoelastic moduli via impact indentation experimental data, and it directly relates viscoelastic moduli to impact indentation output parameters of quality factor, energy dissipation capacity, and maximum penetration depth without the need for finite element simulation.en_US
dc.description.statementofresponsibilityby Aleksandar S. Mijailovic.en_US
dc.format.extent76 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleMethods to measure and relate the viscoelastic properties of brain tissueen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc970344179en_US


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