2026-09-21T19:05:43Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/122211 2024-03-02 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Gruev, Viktor 2023-12 application/pdf en text Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-12-01 The student, Zhongmin Zhu, accepted the attached license on 2023-11-06 at 17:39. The student, Zhongmin Zhu, submitted this Thesis for approval on 2023-11-07 at 12:00. This Thesis was approved for publication on 2023-11-14 at 10:45. DSpace SAF Submission Ingestion Package generated from Vireo submission #19889 on 2024-03-01 at 13:48:03 A novel low-readout noise multispectral camera system for image-guided surgery Zhu, Zhongmin Image-guided-surgery Multi-spectral Imaging Biomedical Imaging 2023-11-14 This thesis presents the development and evaluation of a novel low-readout noise multispectral camera system designed to enhance the precision of image-guided surgeries. Emphasizing the gap in real-time visual guidance for surgeons, the study first elucidates the theoretical underpinnings and motivations behind such technological advancements. The research methodology encompasses the meticulous design and engineering of the GSENSE2020FSI camera, reflecting a detailed synthesis of current imaging requirements for clinical applications, particularly in oncology. Empirical findings from a series of clinical studies underscore the imaging system's efficacy, demonstrating its operational robustness and potential in cancer detection and treatment scenarios. In conclusion, the thesis synthesizes the technical characterization and clinical utility of the multispectral camera system, affirming its contribution to the field ofmedical imaging and potential impact on surgical outcomes. Text eng https://hdl.handle.net/2142/122211 Copyright 2023 Zhongmin Zhu M.S. Thesis Electrical & Computer Engr University of Illinois at Urbana-Champaign Electrical & Computer Eng