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Proceedings Paper

Factor analysis for spillover correction or movement detection in dynamic PET studies
Author(s): Han-Ming Wu; Carl K. Hoh; Sung-Cheng Huang
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Paper Abstract

In this study, we applied factor analysis of dynamic structures (FADS) techniques in dynamic PET images to (1) extract the arterial time activity curve (TAC) from human adult or small monkey dynamic FDG PET; and (2) investigate the use of FADS generated factor images and factor curves to detect large subject movements during dynamic GA-68 EDTA scans of brain tumor patients. The results showed that a blood sample constraint improved the accuracy of FADS technique in extracting the `pure' blood pool TAC from dynamic PET studies that have large spillover problems. The studies of GA-68 EDTA brain PET studies showed that three major factors were extracted from images using FADS. For studies with little patient movement, a standard pattern of three factor curves and three factor images were obtained. However, large patient movement changed the outcomes of FADS results. We conclude that (1) FADS technique with a blood sample allows the extraction of the `pure' blood pool TAC directly from quantitative PET images without requiring multiple blood samples, region-of- interest drawing or spillover correction; and (2) FADS technique provides a sensitive way to detect large patient movements in dynamic PET studies.

Paper Details

Date Published: 8 April 1996
PDF: 5 pages
Proc. SPIE 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images, (8 April 1996);
Show Author Affiliations
Han-Ming Wu, UCLA School of Medicine (United States)
Carl K. Hoh, UCLA School of Medicine (United States)
Sung-Cheng Huang, UCLA School of Medicine (United States)

Published in SPIE Proceedings Vol. 2709:
Medical Imaging 1996: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

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