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

Zhu, Zhongmin

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

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.

Graduation Semester

2023-12

Type of Resource

Thesis

Handle URL

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

Copyright and License Information

Copyright 2023 Zhongmin Zhu

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