<?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>2026-09-25T12:24:18Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/112826" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/112826</identifier><datestamp>2026-06-06T00:55:16Z</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">Luca Daniel.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Cruz Serrallés, José E. (José Enrique)</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">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2017-12-20T17:24:16Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2017-12-20T17:24:16Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/112826</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1014182688</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, 2016.</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">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 93-95).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis describes the development of Global Maxwell Tomography, a global inverse scattering algorithm. This algorithm is based on Volume Integral Equation formulations and operates on Magnetic Resonance data. The algorithm is framed as an optimization problem with box constraints, whereby guesses of material properties are successfully refined until convergence criteria have been met. The algorithm is assessed with a number of numerical examples, and future steps and improvements are proposed herein.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by José E. Cruz Serrallés.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">95 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">Global Maxwell Tomography : inverse scattering via magnetic resonance and volume integral equations</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Inverse scattering via magnetic resonance and volume integral equations</dim:field>
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   	&lt;Title>Global Maxwell Tomography : inverse scattering via magnetic resonance and volume integral equations&lt;/Title>
   	&lt;Subtitle>Inverse scattering via magnetic resonance and volume integral equations&lt;/Subtitle>
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   	&lt;PublicationDate>2016&lt;/PublicationDate>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>This thesis describes the development of Global Maxwell Tomography, a global inverse scattering algorithm. This algorithm is based on Volume Integral Equation formulations and operates on Magnetic Resonance data. The algorithm is framed as an optimization problem with box constraints, whereby guesses of material properties are successfully refined until convergence criteria have been met. The algorithm is assessed with a number of numerical examples, and future steps and improvements are proposed herein.&lt;/Abstract>
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