{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/104861"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/104861","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Low-noise image sensor designed for near-infrared image-guided surgery","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Chen, Eric"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Gruev, Viktor"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-08-23T19:55:44Z","date_published":"2019-08-23T19:55:44Z","updated_at":"2026-07-22T22:24:42Z","subjects":["image, sensor, near-infrared"],"languages":["en"],"rights":["Copyright 2019 Eric Chen"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/104861","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Gruev, Viktor"]},{"key":"dc:creator","label":"Author","values":["Chen, Eric"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-08-23T19:55:44Z","2019-04-18","2019-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["image, sensor, near-infrared"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Eric Chen"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/104861"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-08-22 without embargo terms","The student, Eric Chen, accepted the attached license on 2019-04-17 at 14:42.","The student, Eric Chen, submitted this Thesis for approval on 2019-04-17 at 14:48.","This Thesis was approved for publication on 2019-04-18 at 17:11.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13721 on 2019-08-22 at 14:44:40","Made available in DSpace on 2019-08-23T19:55:44Z (GMT). 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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.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-08-22 without embargo terms","The student, Eric Chen, accepted the attached license on 2019-04-17 at 14:42.","The student, Eric Chen, submitted this Thesis for approval on 2019-04-17 at 14:48.","This Thesis was approved for publication on 2019-04-18 at 17:11.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13721 on 2019-08-22 at 14:44:40","Made available in DSpace on 2019-08-23T19:55:44Z (GMT). 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