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Activity Number:
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119
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Type:
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Contributed
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Date/Time:
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Monday, August 7, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #307546 |
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Title:
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A New Approach to Modeling the PET Data and Input Function
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Author(s):
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Huiping Jiang*+
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Companies:
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Columbia University
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Address:
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1051 Riverside Drive
Unit 48, New York, NY, 10032,
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Keywords:
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PET ; mixture model ; input function
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Abstract:
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A mixture approach has been developed (Jiang and Ogden) to model the time-course PET data as a weighted linear combination of a finite number of basic functions (components) given by a sum of exponential functions convoluted with an arterial blood input function. The disadvantage of the approach is that the input function was modeled separately based on the biomedical sampling from subjects' arterial blood. We propose a new non-invasive approach to estimate the parameters of the mixture model and input function simultaneously without arterial data. The method is illustrated with analysis of both simulated and real data.
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