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Brian W. Anthony. Zubajlo, Rebecca Elizabeth Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering 2017-10-18T15:09:07Z 2017-10-18T15:09:07Z 2017 2017 http://hdl.handle.net/1721.1/111898 1005081742 Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 97-104). This 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. by Rebecca Elizabeth Zubajlo. S.M. 106 pages eng Massachusetts Institute of Technology MIT 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. http://dspace.mit.edu/handle/1721.1/7582 Mechanical Engineering. Quantitative biomarkers for tissue characterization Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="ac721daa-af34-4d21-a45c-173ac67e0d64"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Quantitative biomarkers for tissue characterization</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2017</PublicationDate> <Authors> <Author> <DisplayName>Zubajlo, Rebecca Elizabeth</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Mechanical Engineering.</Keyword> <Abstract>This 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.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>