A bio-inspired, asynchronous, time-domain, multispectral imaging system for high dynamic range near-infrared fluorescence image-guided surgery

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2019

Author dc:creator

• Blair, Steven Michael

Contributors dc:contributor

• Gruev, Viktor

• 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

Statement dc:rights

• © 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.

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/102950

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F102950