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dc.contributor.advisorMichael J. Cima.en_US
dc.contributor.authorFrangieh, Chris J.(Christopher John)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2019-11-04T20:22:44Z
dc.date.available2019-11-04T20:22:44Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122757
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 47-51).en_US
dc.description.abstractPortable, non-invasive sensors of tissue fluid distribution would aid in diagnosis of fluid volume disorders and inform therapeutic decisions across diverse patient populations. Existing techniques are inaccurate, invasive, or easily confounded by patient physiology. Single-sided magnetic resonance (MR) devices could provide a portable, low-cost platform for localized measurements of fluid distribution. This thesis demonstrates a single-sided MR sensor that can quantify fluid distribution of heterogeneous samples via depth-resolved, diffusion-weighted, multicomponent T2 relaxometry. Validation using synthetic tissue phantoms, ex vivo tissue samples, and an in vivo edema model is presented. Estimation of tissue fractions in heterogeneous samples with 2% error and tissue layer thickness with 0.1 mm error is demonstrated. The sensor can identify onset, progression, and recovery of muscle edema despite the presence of a confounding subcutaneous tissue layer. These methods can provide point-of-care diagnostics for fluid distribution disorders such as end-stage renal disease and dehydration.en_US
dc.description.statementofresponsibilityby Chris J. Frangieh.en_US
dc.format.extent51 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.subjectElectrical Engineering and Computer Science.en_US
dc.titleNuclear magnetic resonance sensors methods for volume status monitoringen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1124923763en_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2019-11-04T20:22:43Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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