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Title:Reduced-Encoding Dynamic Imaging
Author(s):Hanson, Jill Marie
Doctoral Committee Chair(s):Liang, Zhi-Pei; Lauterbur, Paul C.
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Biomedical
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.
Issue Date:1997
Description:83 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.
Other Identifier(s):(MiAaPQ)AAI9737126
Date Available in IDEALS:2015-09-25
Date Deposited:1997

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