<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T23:51:05Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/123122" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/123122</identifier><datestamp>2026-06-06T00:54:23Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Megan H. Blackwell and Thomas Heldt.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Vigano, Lorenzo C.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2019-12-05T18:04:42Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-12-05T18:04:42Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/123122</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1128187299</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 50-52).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Medical 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.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Lorenzo C. Vigano.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">52 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Modeling torso imaging via time-domain diffuse correlation spectroscopy</dim:field>
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   	&lt;Title>Modeling torso imaging via time-domain diffuse correlation spectroscopy&lt;/Title>
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   	&lt;PublicationDate>2019&lt;/PublicationDate>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>Medical 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&amp;apos;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.&lt;/Abstract>
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