Processing of MRI data for simulation and monitoring of drug delivery

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Publication Type thesis
School or College College of Engineering
Department Computing (School of)
Author Preston, J; Samuel
Title Processing of MRI data for simulation and monitoring of drug delivery
Date 2009-05-06
Description The work in this thesis centers around monitoring and simulation of a novel drug delivery system. The major features are the development of a pipeline for creating realistic tetrahedral geometries from MRI data suitable for finite elements simulation, research into methods for quantifying the impact of the shape of an injected drug depot on drug diffusion, and research into automated methods for segmenting hyperplasia growth from MRI images for monitoring the efficacy of the drugs and delivery methods being tested. The error quantification portion of this work exploits assumptions of smoothness in order to employ the stochastic collocation method to study the effect of drug depot shape variability on the outcome of drug diffusion simulations. Simple parameterizations of depot shape are also explored. We demonstrate that once the underlying stochastic process is characterized, quantification of the introduced variability is quite straightforward and provides an important step in the validation and verification process. The hyperplasia segmentation method described here attempts to exploit minimal user interaction to semi-automatically produce an accurate segmentation. The challenge arises from the need to track a combination of strong and weak features near confounding structures. The 3D segmentation process is broken down into a series of constrained 2D segmentation tasks, which are carried out automatically on preprocessed image slices by an active contour model.
Type Text
Publisher University of Utah
Subject Drug delivery systems
Dissertation Institution University of Utah
Dissertation Name MS
Language eng
Relation is Version of Digital reproduction of "Processing of MRI data for simulation and monitoring of drug delivery" J. Willard Marriott Library Special Collections RS43.5 2009 .P74
Rights Management © J. Samuel Preston
Format Medium application/pdf
Format Extent 128,641 bytes
Identifier us-etd2,119600
Source Original: University of Utah J. Willard Marriott Library Special Collections
Conversion Specifications Original scanned on Epson GT-30000 as 400 dpi to pdf using ABBYY FineReader 9.0 Professional Edition
ARK ark:/87278/s6mk6thw
Setname ir_etd
Date Created 2012-04-23
Date Modified 2012-05-16
ID 193271
Reference URL https://collections.lib.utah.edu/ark:/87278/s6mk6thw