A novel low-readout noise multispectral camera system for image-guided surgery

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.

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

2023

Author dc:creator

• Zhu, Zhongmin

Contributors dc:contributor

• Gruev, Viktor

• Image-guided-surgery
• Multi-spectral Imaging
• Biomedical Imaging

Statement dc:rights

• Copyright 2023 Zhongmin Zhu

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/122211

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F122211