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Activity Number: 288
Type: Invited
Date/Time: Tuesday, August 11, 2015 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Imaging
Abstract #314460
Title: Nonparametric Analysis of Tracer Kinetics from Dynamically Acquired PET Imaging Data
Author(s): Finbarr O'Sullivan*
Companies: University College Cork
Keywords: multivariate analysis ; mixture models ; efficiency
Abstract:

Radio-tracers used in dynamic positron emission tomography (PET) scanning typically act in a linear time-invariant fashion. Thus the measured time-course data are represented by a linear convolution between time-course of the tracer in the arterial supply and the local tissue impulse response, known as the tissue residue function. In statistical terms the residue is a life-table for radio-tracer atoms. This function provides a complete description of the tracer kinetic information measurable by a dynamic PET scan. A decomposition of the residue allows separation of rapid vascular kinetics from slower blood-tissue exchanges and tissue retention. The mapping of local tissue residues is accomplished by approximation in terms of a scaled mixture of basis residues. These are derived in an adaptive fashion from a segmentation of the full data volume. The approach makes essential use of established quadratic programming tools. Consideration of the statistical efficiency of these methods will be discussed. Examples from on-going studies are be used for illustration.


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