A novel low-readout noise multispectral camera system for image-guided surgery
Zhu, Zhongmin
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https://hdl.handle.net/2142/122211
Description
Title
A novel low-readout noise multispectral camera system for image-guided surgery
Author(s)
Zhu, Zhongmin
Issue Date
2023-11-14
Director of Research (if dissertation) or Advisor (if thesis)
Gruev, Viktor
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Image-Guided-Surgery
Multi-spectral Imaging
Biomedical Imaging
Abstract
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.
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