Thomas Hangartner (Advisor), David Short (Committee Member), Julie Skipper (Committee Member)
Master of Science in Engineering (MSEgr)
Computed tomography (CT) imaging relies on computational algorithms to reconstruct images from projections gathered from the CT scan. Depending on the scanner geometry, different types of reconstruction algorithms can be used. To study these different types of reconstruction algorithms in a user-friendly way, a software tool was built. The aim of the thesis was to provide a software platform to access a number of previously implemented reconstruction algorithms with ease and minimal knowledge of the reconstruction code. The goal was accomplished by building a Graphical User Interface (GUI) using MATLAB 7.7.0 (R2008b). In addition to creating mathematical objects and invoking the various reconstruction algorithms, the tool provides newly developed features to analyze the reconstructed images. This thesis first presents an overview of CT and associated reconstruction algorithms. It then describes the features to simulate two-dimensional as well as three-dimensional objects. The reconstructions available are categorized on the basis of different scanner geometries. The tool has the flexibility to specify a range of parameter values for the reconstruction. Finally the tool allows qualitative and quantitative analysis of reconstructed images by using the analysis tool. A couple of test phantoms were simulated to demonstrate the capabilities of the GUI tool. The tests performed included the mask analysis to study the relationship between the standard deviation of reconstructed values and the relevant reconstruction parameters, image subtraction to demonstrate differences in reconstructed values, line profile analysis to show variation of reconstructed image values in more detail, and lastly qualitative image display to visualize reconstruction artifacts using the available reconstruction algorithms. The implemented GUI tool, thus, allows the user to study different reconstruction algorithms with ease using a single panel. It also systematically arranges the available reconstruction algorithms under each scanner geometry. Overall, the tool allows the user to study various objects and reconstruction algorithms by varying different input parameters.
Department or Program
Department of Biomedical, Industrial & Human Factors Engineering
Year Degree Awarded
Copyright 2009, all rights reserved. This open access ETD is published by Wright State University and OhioLINK.