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Multimodal image registration using multivariate information theoretic similarity measures
Descriptive
TitleInfo
Title
Multimodal image registration using multivariate information theoretic similarity measures
SubTitle
applications to prostate cancer diagnosis and targeted treatment
Name
(type = personal)
NamePart
(type = family)
Chappelow
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(type = given)
Jonathan
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1980-
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Jonathan Chappelow
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author
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Madabhushi
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Anant Madabhushi
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Advisory Committee
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chair
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Bhanot
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Gyan
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Gyan Bhanot
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Advisory Committee
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internal member
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Boustany
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Nada
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Nada Boustany
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Advisory Committee
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internal member
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(type = personal)
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(type = family)
Bloch
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(type = given)
B Nicolas
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B Nicolas Bloch
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Advisory Committee
Role
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(authority = RULIB)
outside member
Name
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(type = family)
Tomaszewski
NamePart
(type = given)
John E
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John E Tomaszewski
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Advisory Committee
Role
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(authority = RULIB)
outside member
Name
(type = personal)
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(type = family)
Rosen
NamePart
(type = given)
Mark
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Mark Rosen
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Advisory Committee
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(authority = RULIB)
outside member
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Rutgers University
Role
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(authority = RULIB)
degree grantor
Name
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Graduate School - New Brunswick
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(authority = RULIB)
school
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Text
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theses
OriginInfo
DateCreated
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2011
DateOther
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(type = degree)
2011-05
Place
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(type = code)
xx
Language
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(type = code)
eng
Abstract
(type = abstract)
Multimodal and multiprotocol image registration refers to the process of alignment of two or more images obtained from different imaging modalities (e.g. digitized histology and MRI) and protocols (e.g. T2-w and PD-w MRI). Registration is a critical component in medical applications including image guided surgery, image fusion for cancer diagnosis and treatment planning, and automated tissue annotation. However, registration is often complicated on account of differences in both the image intensities and the shape of the underlying anatomy. For example, non-linear differences in the overall shape of the prostate between in vivo MRI and ex vivo whole mount histology (WMH) often exist as a result of the presence of an endorectal coil during pre-operative MR imaging and deformations to the specimen during slide preparation. To overcome these challenges, we present new registration techniques termed Combined Feature Ensemble Mutual Information (COFEMI) and Collection of Image-derived Non-linear Attributes for Registration Using Splines (COLLINARUS). The goal COFEMI is to provide a similarity measure that is driven by unique low level textural features, for registration that is more robust to intensity artifacts and modality differences than measures restricted to intensities alone. COLLINARUS offers the robustness of COFEMI to artifacts and modality differences, while allowing fully automated non-linear image warping at multiple scales via a hierarchical B-spline mesh grid. In addition, since routine clinical imaging procedures often involve the acquisition of multiple imaging protocols, we present a technique termed Multi-attribute Combined Mutual Information (MACAMI) to leverage the availability of multiple image sets to improve registration. We apply our registration techniques to a unique clinical dataset comprising 150 sets of in vivo MRI and post-operative WMH images from 25 patient studies in order to retrospectively establish the spatial extent of prostate cancer (CaP) on structural (T2-w) and functional (DCE) in vivo MRI. Accurate mapping of CaP on MRI is used to facilitate the development and evaluation of a system for computer-assisted detection (CAD) of CaP on multiprotocol MRI. We also demonstrate our registration and CAD algorithms in developing radiation therapy treatment plans that provide dose escalation to CaP by elastically registering diagnostic MRI with planning CT.
Subject
(authority = RUETD)
Topic
Biomedical Engineering
Subject
(authority = ETD-LCSH)
Topic
Imaging systems in medicine
Subject
(authority = ETD-LCSH)
Topic
Prostate—Cancer--Imaging
Subject
(authority = ETD-LCSH)
Topic
Prostate—Cancer--Treatment
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Title
Rutgers University Electronic Theses and Dissertations
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ETD_3202
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electronic resource
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application/pdf
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Extent
xxx, 177 p. : ill.
Note
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Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = vita)
Includes vita
Note
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by Jonathan Chappelow
Identifier
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http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061604
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Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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NjNbRU
Identifier
(type = doi)
doi:10.7282/T3J38RVF
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
Chappelow
GivenName
Jonathan
Role
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RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2011-04-15 02:38:24
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Name
Jonathan Chappelow
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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
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Copyright protected
Availability
Status
Open
Reason
Permission or license
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