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dc.contributor.advisorMegan H. Blackwell and Thomas Heldt.en_US
dc.contributor.authorVigano, Lorenzo C.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2019-12-05T18:04:42Z
dc.date.available2019-12-05T18:04:42Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/123122
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 50-52).en_US
dc.description.abstractMedical imaging is vital to the timely diagnosis of internal hemorrhaging and the prevention of fatalities. This thesis aims to contribute to this field by examining the efficacy of time-domain diffuse correlation spectroscopy (TD-DCS) as a means of imaging bleeding within the torso. TD-DCS is a new, powerful imaging technique with primary application of measuring blood flow in the brain. Here we show both how this novel imaging technique can be expanded for use in other regions beyond the brain as well as how we hypothesized and modeled the technique's ability to detect internal bleeding consistent with the trauma-related injury of non-compressible torso hemorrhaging (NCTH). In the constructed models, blood thickness changes from four to six millimeters were detectable at the hepatic vein region within the liver. By using Monte Carlo models, trillions of photons were simulated to approximate results taken across a multi-second measurement. The results show promise for the technique and recommend the construction of a testbed for further testing.en_US
dc.description.statementofresponsibilityby Lorenzo C. Vigano.en_US
dc.format.extent52 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.titleModeling torso imaging via time-domain diffuse correlation spectroscopyen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1128187299en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2019-12-05T18:04:41Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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