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Evaluating treatment related changes for prostate cancer via image analysis tools and magnetic resonance imaging
Descriptive
TitleInfo
Title
Evaluating treatment related changes for prostate cancer via image analysis tools and magnetic resonance imaging
Name
(type = personal)
NamePart
(type = family)
Toth
NamePart
(type = given)
Robert
NamePart
(type = date)
1987-
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Robert Toth
Role
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(authority = RULIB)
author
Name
(type = personal)
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(type = family)
Madabhushi
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(type = given)
Anant
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Anant Madabhushi
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Advisory Committee
Role
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(authority = RULIB)
chair
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(type = personal)
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(type = family)
Pierce
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(type = given)
Mark
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Mark Pierce
Affiliation
Advisory Committee
Role
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(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Cai
NamePart
(type = given)
Li
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Li Cai
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Sperling
NamePart
(type = given)
Dan
DisplayForm
Dan Sperling
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
outside member
Name
(type = personal)
NamePart
(type = family)
Tomaszewski
NamePart
(type = given)
John
DisplayForm
John Tomaszewski
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
outside member
Name
(type = corporate)
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
TypeOfResource
Text
Genre
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theses
OriginInfo
DateCreated
(qualifier = exact)
2014
DateOther
(qualifier = exact);
(type = degree)
2014-01
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
The goal of this work is to quantitatively evaluate treatment response following prostate cancer treatment, via the development of novel segmentation and registration methods for: radical prostatectomy, focal laser ablation (FLA) and external beam radiation treatment (EBRT) imaging data. Radical prostatectomy specimens are evaluated via accurately quantifying the prostate volume pre- and post-treatment. A novel Multi-Feature, Landmark Free Active Appearance Model (MFLAAM) algorithm has been developed to automatically determine the volume. This is compared to submersing the removed prostate in water. Quantitative results show that the MFLAAM yields more accurate segmentations than existing state of the art systems, and offers highly accurate volume estimations compared to current clinical volume estimation procedures. In order to evaluate EBRT and FLA treatments for prostate cancer, the pre-, post-treatment MRI images must be spatially aligned. However, existing tools do not take into account specific treatment related changes to the prostate. In addition, no automatic quantitative tools for specifically evaluating treatment changes exist. The prostate consists of distinct internal substructures central gland (CG) and peripheral zone (PZ). Our model aims to explicitly take into account the different effects treatment may have on the shapes of the internal prostatic structures. In order to automatically segment the CG and PZ, the MFLAAM algorithm was extended to simultaneously segment multiple objects. Following the automatic segmentation, a finite element model (FEM) registration algorithm is introduced. An FEM uses physical properties to constrain the registration to only physically-real deformations. In addition, the shrinking of the prostate (which occurs due to radiation treatment) is specifically modeled. This FEM was quantitatively compared to other registration techniques, and was the best performing algorithm over 30 patients. Finally, a separate FEM is developed to compensate for the changes in the surrounding organs (bladder and rectum filling), which is essential for one to isolate the treatment-related changes in the prostate. Following an accurate registration, changes in the MR parameters, changes in the prostate volume, and changes in prostate morphology are calculated. We envision that this work will pave the way for predictive models in order to predict patient outcome from early follow-up imaging data.
Subject
(authority = RUETD)
Topic
Biomedical Engineering
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
Identifier
ETD_5287
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
xiv, 103 p. : ill.
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Robert Toth
Subject
(authority = ETD-LCSH)
Topic
Prostate--Cancer--Magnetic resonance imaging
Subject
(authority = ETD-LCSH)
Topic
Prostate--Cancer--Treatment
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/T3XP7308
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
Toth
GivenName
Robert
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2014-01-05 10:48:01
AssociatedEntity
Name
Robert Toth
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
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.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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ContentModel
ETD
OperatingSystem
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windows xp
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