<?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>2026-09-21T04:37:07Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/152810" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/152810</identifier><datestamp>2023-11-03T03:56:11Z</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">Anthony, Brian W.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Caraballo-Justiniano, Eugenio</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2023-11-02T20:18:13Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="issued">2023-09</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2023-09-28T15:49:54.298Z</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/152810</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract">Over the past decade, work in the medical field has been geared towards the development&#xd;
of ultrasonic systems for medical diagnostic imaging applications. Compared to&#xd;
other imaging modalities, patient contact is a significant source of variability unique&#xd;
to ultrasound. Contact sensitive applications such as remote patient/neonatal monitoring,&#xd;
tracking wound healing, and imaging of sensitive skin areas can significantly&#xd;
benefit from a non-contact ultrasound system. Laser ultrasound (LUS) imaging offers&#xd;
potential advancements over conventional ultrasound, especially in achieving highresolution&#xd;
imaging of tissue structures and the elimination of liquid coupling mediums&#xd;
and probe-to-body contact. The thesis presents an innovative approach to enhance&#xd;
the performance of LUS signals in human tissue by utilizing hydrogels, hydrophilic&#xd;
polymeric materials known for high-water content and biocompatibility, as a surface&#xd;
treatment layer for ultrasound detection and generation. The system integrates&#xd;
and synchronizes linear stage automation, transducer acoustic wave generation, laser&#xd;
doppler vibrometry (LDV), and LabView integration. High speed data acquisition&#xd;
(DAQ) through a dedicated Pico Technology setup streams digitized data directly to&#xd;
the host PC. LDV measurements highlighted the crucial role of bead concentration&#xd;
within hydrogels. Velocity amplitude measurements reflected an inverse relationship&#xd;
with increasing bead concentrations, peaking at approximately 700 mm/s. However,&#xd;
higher bead concentrations yielded better data accuracy and reduced noise, suggesting&#xd;
an optimal range for bead concentration.A comparison of noise ranges across different&#xd;
hydrogel bead concentrations highlighted improved data quality and precision for&#xd;
concentrations exceeding 0.015 g/mL. Furthermore, laser-based measurements indicated&#xd;
that hydrogel with a bead concentration of 0.02 g/mL provided consistent and&#xd;
enhanced signal amplitude. The findings present a pivotal step towards optimizing&#xd;
LUS for clinical applications, opening new doors in medical imaging and diagnostics.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree">S.M.</dim:field>
   <dim:field mdschema="dc" element="publisher">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights">In Copyright - Educational Use Permitted</dim:field>
   <dim:field mdschema="dc" element="rights">Copyright retained by author(s)</dim:field>
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   <dim:field mdschema="dc" element="title">Hydrogel Design Optimization for Measuring&#xd;
Ultrasound Using Laser Doppler Vibrometry</dim:field>
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   <dim:field mdschema="mit" element="thesis" qualifier="degree">Master</dim:field>
   <dim:field mdschema="thesis" element="degree" qualifier="name">Master of Science in Mechanical Engineering</dim:field>
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   	&lt;Title>Hydrogel Design Optimization for Measuring&#xd;
Ultrasound Using Laser Doppler Vibrometry&lt;/Title>
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   	&lt;PublicationDate>2023-09&lt;/PublicationDate>
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        	&lt;DisplayName>Caraballo-Justiniano, Eugenio&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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   	&lt;Abstract>Over the past decade, work in the medical field has been geared towards the development&#xd;
of ultrasonic systems for medical diagnostic imaging applications. Compared to&#xd;
other imaging modalities, patient contact is a significant source of variability unique&#xd;
to ultrasound. Contact sensitive applications such as remote patient/neonatal monitoring,&#xd;
tracking wound healing, and imaging of sensitive skin areas can significantly&#xd;
benefit from a non-contact ultrasound system. Laser ultrasound (LUS) imaging offers&#xd;
potential advancements over conventional ultrasound, especially in achieving highresolution&#xd;
imaging of tissue structures and the elimination of liquid coupling mediums&#xd;
and probe-to-body contact. The thesis presents an innovative approach to enhance&#xd;
the performance of LUS signals in human tissue by utilizing hydrogels, hydrophilic&#xd;
polymeric materials known for high-water content and biocompatibility, as a surface&#xd;
treatment layer for ultrasound detection and generation. The system integrates&#xd;
and synchronizes linear stage automation, transducer acoustic wave generation, laser&#xd;
doppler vibrometry (LDV), and LabView integration. High speed data acquisition&#xd;
(DAQ) through a dedicated Pico Technology setup streams digitized data directly to&#xd;
the host PC. LDV measurements highlighted the crucial role of bead concentration&#xd;
within hydrogels. Velocity amplitude measurements reflected an inverse relationship&#xd;
with increasing bead concentrations, peaking at approximately 700 mm/s. However,&#xd;
higher bead concentrations yielded better data accuracy and reduced noise, suggesting&#xd;
an optimal range for bead concentration.A comparison of noise ranges across different&#xd;
hydrogel bead concentrations highlighted improved data quality and precision for&#xd;
concentrations exceeding 0.015 g/mL. Furthermore, laser-based measurements indicated&#xd;
that hydrogel with a bead concentration of 0.02 g/mL provided consistent and&#xd;
enhanced signal amplitude. The findings present a pivotal step towards optimizing&#xd;
LUS for clinical applications, opening new doors in medical imaging and diagnostics.&lt;/Abstract>
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