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Title:A bio-inspired, asynchronous, time-domain, multispectral imaging system for high dynamic range near-infrared fluorescence image-guided surgery
Author(s):Blair, Steven Michael
Advisor(s):Gruev, Viktor
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Near-infrared fluorescence image-guided surgery
Biomedical imaging
Multispectral image sensor
Asynchronous time-domain image sensor
Address-event representation
Single-chip image sensor
Snapshot image sensor
High dynamic range
Low co-registration error
Pixelated interference filters
Monolithic integration
Abstract:As surgery has become the standard-of-care for cancer, surgeons have been left underequipped to identify tumors in the operating room, causing many operations to end in positive margins and necessitating secondary treatments to remove remaining tumor tissue. Near-infrared fluorescence image-guided surgery utilizes near-infrared fluorescent markers and near-infrared sensitive cameras to highlight cancerous tissues. Unfortunately, state-of-the-art imaging systems are unable to handle the high dynamic range between strong surgical lighting and weak fluorescent emission and suffer from temperature-dependent co-registration error. To provide a cost-effective and space-efficient imaging system with sufficient dynamic range and no co-registration error, this work analyzes the required dynamic range for a single-sensor imaging system used for near-infrared fluorescence image-guided surgery and reports the development of a single-chip snapshot multispectral imaging system that meets this specification. By monolithically integrating an asynchronous time-domain image sensor and pixelated interference filters, this system achieves a dynamic range of 120 dB without co-registration error in four channels across the visible and near-infrared spectra. The imager can detect less than 100 nM of the FDA-approved fluorescent dye indocyanine green under surgical lighting conditions, making it a promising candidate for image-guided surgery clinical trials.
Issue Date:2018-12-10
Type:Thesis
URI:http://hdl.handle.net/2142/102950
Rights Information:© 2018 Steven Michael Blair. A portion of this thesis has been reproduced with permission from a previously published work. This notice serves as an acknowledgment of the copyright held by the publishing organization: ©2018 IEEE. Reprinted, with permission, from Blair, S., Garcia, M., Cui, N., & Gruev, V., “A 120 dB, Asynchronous, Time-Domain, Multispectral Imager for Near-Infrared Fluorescence Image-Guided Surgery”, 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2018. In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of the University of Illinois at Urbana-Champaign's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink.
Date Available in IDEALS:2019-02-08
Date Deposited:2018-12


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