Modeling dynamic PET-SPECT studies in the wavelet domain.

Abstract

This work develops a theoretical framework and corresponding algorithms for the modeling of dynamic PET-SPECT studies both in time and space. The problem of estimating the spatial dimension is solved by applying the wavelet transform to each scan of the dynamic sequence and then performing the kinetic modeling and statistical analysis in the wavelet domain… (More)

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Cite this paper

@article{Turkheimer2000ModelingDP, title={Modeling dynamic PET-SPECT studies in the wavelet domain.}, author={Federico E. Turkheimer and Richard B. Banati and Dimitris Visvikis and John A. D. Aston and Roger N. Gunn and Vincent J. Cunningham}, journal={Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism}, year={2000}, volume={20 5}, pages={879-93} }