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Title:Low-noise image sensor designed for near-infrared image-guided surgery
Author(s):Chen, Eric
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):image, sensor, near-infrared
Abstract:Various technologies can vastly augment the abilities of a physician. X-ray, magnetic resonance imaging (MRI), and near-infrared (NIR) fluorescence are a few categories of medical imaging that are capable of gathering information from below the skin surface. NIR fluorescence imaging is very compatible with the needs of medical imaging. NIR imaging systems can be lightweight and portable. They are relatively safe for human exposure. These advantages make NIR imaging a great option for real-time image-guided surgery. The project covered in this thesis produced a low-noise camera capable of seeing both visible and near-infrared light with a single image sensor. This information can be displayed to a physician in real time. The camera has 1024 x 1024 pixels, 22 fps, and 2 electron readout noise. It uses a pixelated filter array; it has a red, green, blue, or near-infrared filter over each pixel. The camera system is composed of an Opal Kelly XEM-7310 FPGA integration module, a low-noise image sensor chip, and a computer. A PCB was designed to hold the image sensor and auxiliary components. Verilog was written to communicate with the image sensor chip and retrieve real-time video data. USB 3.0 interface transfers the video data to the computer. The computer provides a real-time video display of the RGB and near-infrared video. Keypresses and a graphical user interface (GUI) are used for user inputs, such as video data saving and camera exposure control.
Issue Date:2019-04-18
Type:Text
URI:http://hdl.handle.net/2142/104861
Rights Information:Copyright 2019 Eric Chen
Date Available in IDEALS:2019-08-23
Date Deposited:2019-05


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