Fluorescence molecular imaging has been triggering interest in the scientific community for the last decade due to its great potential for improved early cancer detection and image-guided treatment. Semiconductor nanoparticles, also known as quantum dots, have been identified as potential contrast agents for molecular imaging, but there is a lack of quantitative contrast optimization studies that would enable precise and robust dosimetry calculations. These calculations are crucial to determine the feasibility, risk and cost of any contrast-enhanced clinical imaging procedure. This thesis presents a first attempt at developing a quantitative dosimetry framework for quantum dot-based contrast-enhanced fluorescence molecular imaging, by combining novel experimental methods and validated mathematical models.
Three studies were completed to develop the dosimetry framework. In the first study, we design a novel homogenized optical tissue phantom approach to investigate with precision the effects of various photophysical parameters, such as the excitation and emission wavelengths, tissue absorption and scattering coefficient spectra, tissue autofluorescence spectra, target fluorescence spectra and target depth, on the detected contrast. In the second study, we use the approach to investigate the influence of tissue optical absorption and scattering on contrast behavior for various ex vivo tissue samples, and develop performance metrics to quantify the optimization results. In the third study, we perform vascular fluorescence contrast-enhanced imaging in the dorsal skinfold window chamber mouse model to investigate the effects of pharmacokinetics, blood absorption, vessel diameter and injected dose on the detected contrast. We also describe the relationship between the injected volume and vascular contrast, and transfer the performance metrics developed previously to estimate the minimum injection dose under various conditions. These studies are expected to serve as a stepping stone to further develop contrast optimization and dosimetry models for the emerging field of fluorescence molecular imaging.
| Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/32877 |
| Date | 31 August 2012 |
| Creators | Roy, Mathieu |
| Contributors | Wilson, Brian Campbell |
| Source Sets | University of Toronto |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
Page generated in 0.0022 seconds