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Finite element characterization of soft tissue viscoelastic parameters in acoustic radiation force imaging within the region of excitation
Descriptive
TitleInfo
Title
Finite element characterization of soft tissue viscoelastic parameters in acoustic radiation force imaging within the region of excitation
Name
(type = personal)
NamePart
(type = family)
Zhao
NamePart
(type = given)
Xiaodong
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Xiaodong Zhao
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author
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Pelegri
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Assimina A.
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Assimina A. Pelegri
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Advisory Committee
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chair
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NamePart
(type = family)
Cuitino
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(type = given)
Alberto
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Alberto Cuitino
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Advisory Committee
Role
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(authority = RULIB)
internal member
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(type = personal)
NamePart
(type = family)
WENG
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(type = given)
GEORGE
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GEORGE WENG
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Advisory Committee
Role
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(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
LaMattina
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(type = given)
Bruce
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Bruce LaMattina
Affiliation
Advisory Committee
Role
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(authority = RULIB)
outside member
Name
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
Graduate School - New Brunswick
Role
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school
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Text
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theses
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2015
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(type = degree)
2015-10
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2015
Place
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xx
Language
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eng
Abstract
(type = abstract)
Biomechanical imaging techniques based on acoustic radiation force (ARF) have been developed to characterize the viscoelasticity of soft tissue by measuring the motion induced with ARF noninvasively. The unknown stress distribution in the region of excitation (ROE) limits an accurate inverse characterization of soft tissue viscoelasticity. Thus, many assumptions have been made for both qualitative and quantitative ARF imaging within the ROE. In this thesis, the finite element method is applied to study the dynamic behavior of soft tissue in ARF imaging within the ROE to investigate the assumptions that are made in these imaging methods and decide what factors affect the accuracy of these assumptions. To this end, the effects of global boundary conditions and local heterogeneity are investigated, and simplified quantitative inversion model is evaluated for their limitations in describing soft tissue dynamic behavior. In order to improve quantitative estimation within the ROE, an inverse finite element (FE) characterization procedure based on a Bayesian formulation is presented, which takes full advantage of the prior information of the imaging system that are discarded in the simplified inversion models. The Bayesian approach formulates the known model parameters of the FE models as probability distributions, and aims to estimate a reasonable quantification of the probability distributions of soft tissue mechanical properties rather than best-fit values from an optimization procedure, which are not a practical or a comprehensive description of the estimation in the presence of measurement noise and model parameter uncertainty. To make the Bayesian approach computationally feasible, the Gaussian Process metamodeling method is applied as a statistical approximation of the complex FE model. A comprehensive numerical study in ARF induced creep imaging shows that the Bayesian approach with FE model improves the estimation results even in the presence of large uncertainty levels of the model parameters and provides a potential to improve the ROE-response-based imaging methods where the unknown stress limits an accurate inverse FE characterization.
Subject
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Topic
Mechanical and Aerospace Engineering
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD
Identifier
ETD_6756
PhysicalDescription
Form
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electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xiv, 121 p. : ill.)
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Subject
(authority = ETD-LCSH)
Topic
Acoustic radiation force impulse imaging
Subject
(authority = ETD-LCSH)
Topic
Viscoelasticity
Note
(type = statement of responsibility)
by Xiaodong Zhao
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
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rucore19991600001
Location
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T37D2X44
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Zhao
GivenName
Xiaodong
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(point = start)
2015-09-20 23:52:37
AssociatedEntity
Name
Xiaodong Zhao
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
RightsEvent
DateTime
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(qualifier = exact);
(point = start)
2015-10-31
DateTime
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(point = end)
2016-10-30
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 30th, 2016.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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ETD
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windows xp
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Statistical Profile