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https://hdl.handle.net/2142/81182
Description
Title
Reduced-Encoding Dynamic Imaging
Author(s)
Hanson, Jill Marie
Issue Date
1997
Doctoral Committee Chair(s)
Liang, Zhi-Pei
Lauterbur, Paul C.
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Biomedical
Language
eng
Abstract
Several techniques are proposed in this dissertation to improve the basis functions of the GS model by introducing dynamic information. The two-reference reduced-encoding imaging by generalized-series reconstruction (TRIGR) method suppresses background information through the use of a second high-resolution reference image. A second technique injects information from the dynamic data into the GS basis functions, as opposed to deriving them solely from the reference information. These techniques allow the GS basis functions to more accurately represent the areas of dynamic change. Finally, motion that occurs between the acquisition of the reference and dynamic data sets can render the reference information useless as a constraint for image reconstruction. A motion compensation method is proposed which uses a similarity norm to accurately detect the motion in spite of contrast changes and the low-resolution nature of the dynamic data.
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