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dc.contributor.advisorBrian W. Anthony.en_US
dc.contributor.authorZubajlo, Rebecca Elizabethen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2017-10-18T15:09:07Z
dc.date.available2017-10-18T15:09:07Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/111898
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 97-104).en_US
dc.description.abstractThis research proposes and examines noninvasive, quantitative techniques to characterize tissue. The primary metrics investigated include estimation of longitudinal speed of sound and shearwave elastography. Additional metrics investigated include bioimpedance and functional tests specifically for muscle health quantification. Diagnosing and monitoring of health of muscle and liver tissue is the motivating clinical need. These proposed metrics and techniques are noninvasive, quantitative, and do not require calibration. Current standards of care for liver and muscle health include biopsy for liver and muscle or electromyography for muscle. Functional tests, also a gold standard for functional muscle health, are not as quantitative or robust as the metrics proposed here due to changes from patient type and mobility level. The metrics proposed here do not have the limitations as the current gold standards and can be applied robustly to patients for screening, diagnosis, and monitoring of disease - making medicine more precise and personalized.en_US
dc.description.statementofresponsibilityby Rebecca Elizabeth Zubajlo.en_US
dc.format.extent106 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.titleQuantitative biomarkers for tissue characterizationen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc1005081742en_US


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