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Brian W. Anthony. Chen, Hongling, S.M. Massachusetts Institute of Technology. Massachusetts Institute of Technology. Engineering and Management Program. System Design and Management Program. Massachusetts Institute of Technology. Integrated Design and Management Program. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Engineering and Management Program Massachusetts Institute of Technology. Integrated Design and Management Program Massachusetts Institute of Technology. Department of Mechanical Engineering 2021-10-08T16:48:23Z 2021-10-08T16:48:23Z 2020 2020 https://hdl.handle.net/1721.1/132814 1262990599 Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, May, 2020 Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020 Cataloged from the official version of thesis. Includes bibliographical references (pages 58-60). Superficial vasculature presented on human skin is a stable and unique network across different individuals and contains important physiological information that is less understood and studied. Potential clinical applications include monitoring the progress of the peripheral arterial disease, assessment of revascularization during surgical interventions, and early assessment of skin cancer from melanoma imagery. Some non-clinical applications include biometric scanning and relocalization for ultrasound imaging. To bridge the knowledge gap between the technology and these potential applications, a reliable, robust, and versatile platform is necessary. My thesis project involves the design and development of a platform for longitudinal superficial vasculature imaging, as well as robust computational algorithms to characterize and quantify vasculature networks. The technology used for the system includes near-infrared (NIR) optics and illumination source in the biological tissue window (750nm-940nm) optimized for hemoglobin absorption. The algorithms used, including segmentation, registration, and graph-based network analysis, are developed and implemented in Matlab. Some of my results include evidence of longitudinal vascular stability, relocalization capability, vasculature features on different parts of the human body. by Hongling Chen. S.M. in Engineering and Management S.M. S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering 60 pages eng Massachusetts Institute of Technology MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 Engineering and Management Program. System Design and Management Program. Integrated Design and Management Program. Mechanical Engineering. A vascular imaging system for longitudinal registration and mapping of superficial vessels with quantitative analysis Thesis application/pdf 2021-10-08T16:48:23Z Publication Master SysDes MechE unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="516cf920-5240-4186-be07-8e822e426d8e"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>A vascular imaging system for longitudinal registration and mapping of superficial vessels with quantitative analysis</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2020</PublicationDate> <Authors> <Author> <DisplayName>Chen, Hongling, S.M. Massachusetts Institute of Technology.</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Engineering and Management Program.</Keyword> <Keyword>System Design and Management Program.</Keyword> <Keyword>Integrated Design and Management Program.</Keyword> <Keyword>Mechanical Engineering.</Keyword> <Abstract>Superficial vasculature presented on human skin is a stable and unique network across different individuals and contains important physiological information that is less understood and studied. Potential clinical applications include monitoring the progress of the peripheral arterial disease, assessment of revascularization during surgical interventions, and early assessment of skin cancer from melanoma imagery. Some non-clinical applications include biometric scanning and relocalization for ultrasound imaging. To bridge the knowledge gap between the technology and these potential applications, a reliable, robust, and versatile platform is necessary. My thesis project involves the design and development of a platform for longitudinal superficial vasculature imaging, as well as robust computational algorithms to characterize and quantify vasculature networks. The technology used for the system includes near-infrared (NIR) optics and illumination source in the biological tissue window (750nm-940nm) optimized for hemoglobin absorption. The algorithms used, including segmentation, registration, and graph-based network analysis, are developed and implemented in Matlab. Some of my results include evidence of longitudinal vascular stability, relocalization capability, vasculature features on different parts of the human body.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>