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Towards a 3D ultrasound imaging system for needle-guided minimally invasive procedures

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TitleInfo
Title
Towards a 3D ultrasound imaging system for needle-guided minimally invasive procedures
Name (type = personal)
NamePart (type = family)
Mwikirize
NamePart (type = given)
Cosmas Byotariho
NamePart (type = date)
1986-
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Cosmas Byotariho Mwikirize
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Hacihaliloglu
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Ilker
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Ilker Hacihaliloglu
Affiliation
Advisory Committee
Role
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chair
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NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Graduate Studies
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school
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Text
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theses
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2019
DateOther (encoding = w3cdtf); (qualifier = exact); (type = degree)
2019-10
Language
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English
Abstract (type = abstract)
Needle-based minimally invasive procedures such as percutaneous biopsies, regional anesthesia, and peripheral vascular interventions are ubiquitous in healthcare. During these procedures, accurate real-time needle localization is vital to minimize risk and improve efficacy. For this purpose, image guidance is utilized, and ultrasound is the desirable modality because of its ease of use, low-cost, non-ionizing radiation and real-time imaging capabilities. However, with ultrasound, needle visualization is inhibited by non-axial specular reflection, hyperechoic artifacts and noise. This dissertation describes the development of accurate, automatic, real-time and robust enhancement and localization techniques for the needle shaft and tip in challenging ultrasound-guided procedures. The developed methods employ both traditional computer vision and advanced machine learning approaches for modeling ultrasound signal transmission, feature detection and pixel-wise classification of needles from 2D and 3D ultrasound data. In extensive ex vivo imaging studies on realistic phantoms across a broad range of imaging settings and scenarios, the methods accurately localize needles that have low contrast or are imperceptible to the naked eye. The results of these studies will inform future clinical trials for evaluating the feasibility of our methods. Once translated, this work will provide means for a new ultrasound imaging platform to support real-time enhancement and localization of needles and will be applicable to commercially available 2D/3D cart-based and portable ultrasound systems thus benefitting clinical practice, research and industry.
Subject (authority = RUETD)
Topic
Biomedical Engineering
Subject (authority = LCSH)
Topic
Ultrasonic imaging
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Rutgers University Electronic Theses and Dissertations
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ETD_10208
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Extent
1 online resource (xiv, 184 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-0jrh-y189
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Mwikirize
GivenName
Cosmas
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-09-02 13:12:25
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Cosmas Mwikirize
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Rutgers University. School of Graduate Studies
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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.
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Type
Embargo
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-10-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2020-10-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 30th, 2020.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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2019-09-12T10:09:43
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2019-09-12T10:09:43
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