Keywords
Curvelet, radon transform, image reconstruction, computed tomography
Abstract
Computed Tomography (CT) is the standard in medical imaging field. In this study, we look at the curvelet transform in an attempt to use it as a basis for representing a function. In doing so, we seek a way to reconstruct a function from the Radon data that may produce clearer results. Using curvelet decomposition, any known function can be represented as a sum of curvelets with corresponding coefficients. It can be shown that these corresponding coefficients can be found using the Radon data, even if the function is unknown. The use of curvelets has the potential to solve partial or truncated Radon data problems. As a result, using a curvelet representation to invert radon data allows the chance of higher quality images to be produced. This paper examines this method of reconstruction for computed tomography (CT). A brief history of CT, an introduction to the theory behind the method, and implementation details will be provided.
Notes
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Graduation Date
2013
Semester
Spring
Advisor
Katsevich, Alexander
Degree
Master of Science (M.S.)
College
College of Sciences
Department
Mathematics
Degree Program
Mathematical Science
Format
application/pdf
Identifier
CFE0004674
URL
http://purl.fcla.edu/fcla/etd/CFE0004674
Language
English
Release Date
May 2013
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
Subjects
Dissertations, Academic -- Sciences, Sciences -- Dissertations, Academic
STARS Citation
Dickerson, Jill, "Curvelets And The Radon Transform" (2013). Electronic Theses and Dissertations. 2529.
https://stars.library.ucf.edu/etd/2529