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Permanent link (DOI): https://doi.org/10.7939/R3ZK55T23

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Quantitative Photoacoustic Imaging Open Access

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Other title
Subject/Keyword
quantitative
photodynamic therapy
photoacoustic tomography
photoacoustic microscopy
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Shao, Peng
Supervisor and department
Zemp, Roger James(Electrical and Computer Engineering)
Examining committee member and department
Van, Vien(Electrical and Computer Engineering)
Fedosejevs,Robert(Electrical and Computer Engineering)
Mandal, Mrinal(Electrical and Computer Engineering)
Tang, Shuo(Electrical and Computer Engineering, University of British Columbia)
Shankar, Karthik(Electrical and Computer Engineering)
Tavakoli, Mahdi(Electrical and Computer Engineering)
Department
Department of Electrical and Computer Engineering
Specialization
Biomedical Engineering
Date accepted
2014-07-21T10:50:18Z
Graduation date
2014-11
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
Tumor angiogenesis is the cancer-induced chaotic proliferation of blood vessel structure penetrating into surrounding cancerous tissue. Effective micro-vasculature imaging method is urgently desired for both fundamental biological and clinical studies. However, this is a challenging task, as existing standard imaging techniques are limited by factors such as poor resolution, high cost, necessity of using imaging contrast agent and invasiveness. Photoacoustic (PA) imaging, as a non-ionizing modality, has drawn significant interest due to the promise it holds for high-resolution, noninvasiveness and its capability to reveal functional information based on intrinsic optical contrast. The ultimate goal of this dissertation is to further previous work on quantitative photoacoustic imaging, specifically, to contribute to quantitative imaging of tumor angiogenesis and anti-angiogenetic therapy. The work presented in this dissertation can be divided into three parts. In the first part, we focus on quantitative photoacoutic tomography (qPAT) for deep tissue imaging. We developed a series of algorithms that are able to quantify deep tissue photoacoustic imaging. We demonstrated by simulations that spatial distributions of optical properties, namely optical absorption and scattering, as well as the Grüneisen parameter can be faithfully reconstructed with our reconstruction algorithms. In the second part, we focused on developing new imaging platforms for quantitative photoacoustic microscopy (PAM) imaging for superficial imaging depths. We successfully included fluorescently-labeled molecular context in optical-resolution PAM (OR-PAM) imaging by our integrated micro-endoscopy system that is able to simultaneously accomplish fluorescence and OR-PAM imaging. With our fast, wide field-of-view OR-PAM imaging technique, we significantly reduced the data acquisition time of conventional OR-PAM systems to a clinically realistic level. In the third part, experimental work is presented for quantitative imaging of vasculature variations and oxygen depletions due to photodynamic therapy with an acoustic-resolution PAM (AR-PAM) system we developed.
Language
English
DOI
doi:10.7939/R3ZK55T23
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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