{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/81182"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/81182","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Reduced-Encoding Dynamic Imaging","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. 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