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A vascular imaging system for longitudinal registration and mapping of superficial vessels with quantitative analysis

Author(s)
Chen, Hongling, S.M. Massachusetts Institute of Technology.
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Other Contributors
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.
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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
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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.
Description
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).
 
Date issued
2020
URI
https://hdl.handle.net/1721.1/132814
Department
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
Publisher
Massachusetts Institute of Technology
Keywords
Engineering and Management Program., System Design and Management Program., Integrated Design and Management Program., Mechanical Engineering.

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