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Proceedings Paper

Factor analysis for delineation of organ structures, creation of in- and output functions, and standardization of multicenter kinetic modeling
Author(s): Christiaan Schiepers; Carl K. Hoh; Magnus Dahlbom; Hsiao-Ming Wu; Michael E. Phelps
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Paper Abstract

PET imaging can quantify metabolic processes in-vivo; this requires the measurement of an input function which is invasive and labor intensive. A non-invasive, semi-automated, image based method of input function generation would be efficient, patient friendly, and allow quantitative PET to be applied routinely. A fully automated procedure would be ideal for studies across institutions. Factor analysis (FA) was applied as processing tool for definition of temporally changing structures in the field of view. FA has been proposed earlier, but the perceived mathematical difficulty has prevented widespread use. FA was utilized to delineate structures and extract blood and tissue time-activity-curves (TACs). These TACs were used as input and output functions for tracer kinetic modeling, the results of which were compared with those from an input function obtained with serial blood sampling. Dynamic image data of myocardial perfusion studies with N-13 ammonia, O-15 water, or Rb-82, cancer studies with F-18 FDG, and skeletal studies with F-18 fluoride were evaluated. Correlation coefficients of kinetic parameters obtained with factor and plasma input functions were high. Linear regression usually furnished a slope near unity. Processing time was 7 min/patient on an UltraSPARC. Conclusion: FA can non-invasively generate input functions from image data eliminating the need for blood sampling. Output (tissue) functions can be simultaneously generated. The method is simple, requires no sophisticated operator interaction and has little inter-operator variability. FA is well suited for studies across institutions and standardized evaluations.

Paper Details

Date Published: 21 May 1999
PDF: 8 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348532
Show Author Affiliations
Christiaan Schiepers, Univ. of California/Los Angeles School of Medicine (United States)
Carl K. Hoh, Univ. of California/Los Angeles School of Medicine (United States)
Magnus Dahlbom, Univ. of California/Los Angeles School of Medicine (United States)
Hsiao-Ming Wu, Univ. of California/Los Angeles School of Medicine (United States)
Michael E. Phelps, Univ. of California/Los Angeles School of Medicine (United States)


Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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